From bd1bdd58dd87f00ac5a8f0818151840a510cb160 Mon Sep 17 00:00:00 2001
From: Daniel Sabanes Bove <danielinteractive@users.noreply.github.com>
Date: Mon, 11 Mar 2024 16:05:07 +0100
Subject: [PATCH 01/14] add linux snapshots (#366)

closes #365
---
 .../_snaps/linux-4.3/barplot/barplot-001.png    | Bin 0 -> 13663 bytes
 .../_snaps/linux-4.3/boxplot/boxplot-001.png    | Bin 0 -> 26168 bytes
 .../_snaps/linux-4.3/forest/forest_tte-001.png  | Bin 0 -> 8716 bytes
 tests/testthat/_snaps/linux-4.3/km/km-001.png   | Bin 0 -> 30412 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-001.png | Bin 0 -> 23863 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-002.png | Bin 0 -> 37409 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-003.png | Bin 0 -> 30365 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-004.png | Bin 0 -> 28950 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-005.png | Bin 0 -> 8682 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-006.png | Bin 0 -> 162 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-007.png | Bin 0 -> 15029 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-008.png | Bin 0 -> 18212 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-009.png | Bin 0 -> 24162 bytes
 tests/testthat/_snaps/linux-4.3/pca/pca-010.png | Bin 0 -> 23318 bytes
 .../_snaps/linux-4.3/quality/quality-001.png    | Bin 0 -> 5166 bytes
 .../_snaps/linux-4.3/quality/quality-002.png    | Bin 0 -> 12992 bytes
 .../_snaps/linux-4.3/quality/quality-003.png    | Bin 0 -> 16625 bytes
 .../linux-4.3/volcanoplot/volcanoplot-001.png   | Bin 0 -> 16965 bytes
 .../linux-4.3/volcanoplot/volcanoplot-002.png   | Bin 0 -> 14835 bytes
 tests/testthat/test-pca.R                       |   6 ------
 20 files changed, 6 deletions(-)
 create mode 100644 tests/testthat/_snaps/linux-4.3/barplot/barplot-001.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/boxplot/boxplot-001.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/forest/forest_tte-001.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/km/km-001.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-001.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-002.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-003.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-004.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-005.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-006.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-007.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-008.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-009.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/pca/pca-010.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/quality/quality-001.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/quality/quality-002.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/quality/quality-003.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/volcanoplot/volcanoplot-001.png
 create mode 100644 tests/testthat/_snaps/linux-4.3/volcanoplot/volcanoplot-002.png

diff --git a/tests/testthat/_snaps/linux-4.3/barplot/barplot-001.png b/tests/testthat/_snaps/linux-4.3/barplot/barplot-001.png
new file mode 100644
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diff --git a/tests/testthat/_snaps/linux-4.3/pca/pca-003.png b/tests/testthat/_snaps/linux-4.3/pca/pca-003.png
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diff --git a/tests/testthat/_snaps/linux-4.3/pca/pca-008.png b/tests/testthat/_snaps/linux-4.3/pca/pca-008.png
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diff --git a/tests/testthat/_snaps/linux-4.3/volcanoplot/volcanoplot-001.png b/tests/testthat/_snaps/linux-4.3/volcanoplot/volcanoplot-001.png
new file mode 100644
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diff --git a/tests/testthat/test-pca.R b/tests/testthat/test-pca.R
index ef84a510..c1883bfb 100644
--- a/tests/testthat/test-pca.R
+++ b/tests/testthat/test-pca.R
@@ -108,7 +108,6 @@ test_that("pca module works as expected in the test app", {
   app$set_inputs(!!ns("y_var") := "4")
   app$set_inputs(!!ns("var_pct") := FALSE)
   app$set_inputs(!!ns("label") := FALSE)
-  app$set_inputs(!!ns("show_matrix") := FALSE)
 
   app$wait_for_idle()
   app$expect_select_screenshot(ns("plot_pca-plot_main"))
@@ -149,9 +148,6 @@ test_that("pca module works as expected in the test app", {
   expect_identical(res$message, "please select two different principal components")
 
   # Update the inputs to PCA tab, hd1, counts, PC3, PC4, and add filters.
-  app$set_inputs(!!ns("tab_selected") := "PCA")
-  app$set_inputs(!!ns("experiment-name") := "hd1")
-  app$set_inputs(!!ns("assay-name") := "counts")
   app$set_inputs(!!ns("x_var") := "3")
   app$set_inputs(!!ns("y_var") := "4")
   app$set_inputs(!!ns("var_pct") := TRUE)
@@ -172,7 +168,6 @@ test_that("pca module works as expected in the test app", {
   app$expect_select_screenshot(ns("plot_pca-plot_main"))
 
   # Update to cor tab.
-  app$set_inputs(!!ns("tab_selected") := "PCA")
   app$set_inputs(!!ns2("active-MAE-subjects-MAE_SEX-inputs-selection_open") := TRUE, allow_no_input_binding_ = TRUE)
   app$set_inputs(!!ns2("active-MAE-subjects-MAE_SEX-inputs-selection") := "F")
   app$set_inputs(!!ns2("active-MAE-subjects-MAE_SEX-inputs-selection_open") := FALSE, allow_no_input_binding_ = TRUE)
@@ -213,7 +208,6 @@ test_that("pca module works as expected in the test app", {
 
   # Go back to first experiment and check that n_top stayed the same.
   app$set_inputs(!!ns("experiment-name") := "hd1")
-  app$set_inputs(!!ns("filter_top") := "TRUE")
   res <- app$wait_for_value(input = ns("n_top"))
   expect_identical(res, 2500L)
   app$stop()

From 1b9e2300ed7611f42e137cfcfec9974fc71c5c4f Mon Sep 17 00:00:00 2001
From: danielinteractive <danielinteractive@users.noreply.github.com>
Date: Mon, 11 Mar 2024 15:06:12 +0000
Subject: [PATCH 02/14] [skip actions] Bump version to 0.1.6.9004

---
 DESCRIPTION | 4 ++--
 NEWS.md     | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 47cebbb4..0223066d 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Type: Package
 Package: teal.modules.hermes
 Title: RNA-Seq Analysis Modules to Add to a Teal Application
-Version: 0.1.6.9003
-Date: 2024-02-22
+Version: 0.1.6.9004
+Date: 2024-03-11
 Authors@R: c(
     person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@roche.com", role = c("aut", "cre")),
     person("Nikolas", "Burkoff", role = "aut"),
diff --git a/NEWS.md b/NEWS.md
index a7d2af1d..60a24293 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# teal.modules.hermes 0.1.6.9003
+# teal.modules.hermes 0.1.6.9004
 
 ### Miscellaneous
 * Added placeholders for `assaySpec`, `adtteSpec` and `geneSpec` inputs when no option is selected.

From e590ea53d6e74efca096f168089d4fd3a241333f Mon Sep 17 00:00:00 2001
From: b_falquet <64274616+BFalquet@users.noreply.github.com>
Date: Wed, 13 Mar 2024 09:18:15 +0100
Subject: [PATCH 03/14] update snapshot, add wait_for_idle (#369)

- update snapshots
- add waiting for idle

thank you for the review

Co-authored-by: benoit <benoit.falquet@roche.com>
---
 .../windows-4.3/boxplot/boxplot-001.png       | Bin 23315 -> 23333 bytes
 .../windows-4.3/forest/forest_tte-001.png     | Bin 8550 -> 8546 bytes
 .../_snaps/windows-4.3/km/km-001.new.png      | Bin 0 -> 22933 bytes
 .../_snaps/windows-4.3/pca/pca-004.png        | Bin 30282 -> 29817 bytes
 .../_snaps/windows-4.3/pca/pca-007.png        | Bin 15459 -> 15466 bytes
 .../_snaps/windows-4.3/pca/pca-008.png        | Bin 18642 -> 18648 bytes
 .../_snaps/windows-4.3/pca/pca-009.png        | Bin 23588 -> 23589 bytes
 .../_snaps/windows-4.3/pca/pca-010.png        | Bin 24632 -> 24611 bytes
 .../windows-4.3/quality/quality-003.png       | Bin 19505 -> 16619 bytes
 .../scatterplot/scatterplot-001.new.png       | Bin 0 -> 23094 bytes
 .../volcanoplot/volcanoplot-001.png           | Bin 15127 -> 15148 bytes
 .../volcanoplot/volcanoplot-002.png           | Bin 13194 -> 13204 bytes
 tests/testthat/test-pca.R                     |   2 +-
 tests/testthat/test-quality.R                 |   2 ++
 14 files changed, 3 insertions(+), 1 deletion(-)
 create mode 100644 tests/testthat/_snaps/windows-4.3/km/km-001.new.png
 create mode 100644 tests/testthat/_snaps/windows-4.3/scatterplot/scatterplot-001.new.png

diff --git a/tests/testthat/_snaps/windows-4.3/boxplot/boxplot-001.png b/tests/testthat/_snaps/windows-4.3/boxplot/boxplot-001.png
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diff --git a/tests/testthat/_snaps/windows-4.3/forest/forest_tte-001.png b/tests/testthat/_snaps/windows-4.3/forest/forest_tte-001.png
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zA^Ju@mFrQ4@lsy)$0Ka~{%>u;5AbU8Mc|(ZItw*`b}=W1+l&GaB|askSj4zsrum3H
zo?MQ@fP$|tA|m42lk*rB72`_Y8Gb41==sZG)V@q`cPm||O&jPA?!$#kFkdi>sb2t3
zKa#m+VB!hLOv5slfF`GvoSY1$r+==$Bq28TB$Bxc%(*ns9L35TDu#NPrhJ(_gG#V!
z3a&d9`&7sU#39%I;sh9AW14c@M~(=1hY|fJIFvUhUqbOPfl&qk^6PUY<+97wh^!|6
zeLTqQIhwG!(g<1pTJ>i$Iu;yE5Tp7)P3ng?Wc8e|AkyetxdVQ-ls^_JY01f!o2X{*
zF{UOAGeTJ~x<h74$e=EfeE;E_8dBu`HdmQeLiz@m+MT;Qq8|A%XHCF4V@~W|&VJ$4
znN|dCeXgQiqEBFJiS6;_lkmW9ooN?)V=330#v{enAT970J7NDHpS<#9COd-P2yE2I
z$Vl)r8geBZy0b2&C<oO*J%I5~rtv>NT2J|7_{Y)*P84(YrA2k?b#HI)8q**-x|iR3
z(_wzGJNpXL1{xo~sd4JSD3~Fz?3U>pyl<DUWW_E8ZhR|(4YXr|au;-Z0eG@*Fg-Wd
zlN-VGq?y?Pb8J03kJy~R5zAWy!fZTo^qOlhp|MF11($-ye$6z=-DIY}B#9~frU%Xy
z@u&p9dBQ0Wig%oxoMbwdbG`Y`6?|s040AP^vk)yKQ-7RyU{1-w@UPpa-;Xh8SyW({
z%RwTnl+FahESySN;3v(2zhzcpRwjMx^9uz=@HReyU<=k0MIewdT}a4l834d7L1_~b
zgBwTW4>0Qr3^%AS$G5;uX1dN*E`0|T%vx)3Z=XdAGRKBL9$@Ml|1;;`QjL0;tx?mi
R2%0wdvl`dbF_*7D{2vf;)BFGc

diff --git a/tests/testthat/test-pca.R b/tests/testthat/test-pca.R
index c1883bfb..4de07abb 100644
--- a/tests/testthat/test-pca.R
+++ b/tests/testthat/test-pca.R
@@ -155,7 +155,7 @@ test_that("pca module works as expected in the test app", {
   app$set_inputs(!!ns("show_matrix") := TRUE)
 
   app$set_inputs(!!ns2("add-MAE-subjects-var_to_add") := "SEX")
-  app$wait_for_idle()
+  app$wait_for_idle(timeout = 40000)
   app$set_inputs(!!ns2("active-MAE-subjects-MAE_SEX-inputs-selection") := "M")
 
   # Ensure xvar and yvar get resetted to pc1 and pc2.
diff --git a/tests/testthat/test-quality.R b/tests/testthat/test-quality.R
index 4c334739..f8847ab8 100644
--- a/tests/testthat/test-quality.R
+++ b/tests/testthat/test-quality.R
@@ -32,6 +32,7 @@ test_that("quality module works as expected in the test app", {
   app$wait_for_idle(timeout = 20000)
   ns <- module_ns_shiny2(app)
 
+
   # Check initial state of encodings.
   res <- app$get_value(input = ns("experiment-name"))
   expect_identical(res, "hd1")
@@ -67,6 +68,7 @@ test_that("quality module works as expected in the test app", {
   # Change to another plot type so that we can choose another assay.
   app$set_inputs(!!ns("plot_type") := "Top Genes Plot")
   app$set_inputs(!!ns("assay-name") := "cpm")
+  app$wait_for_idle(timeout = 30000)
   app$expect_select_screenshot(ns("plot-plot_out_main"))
   app$stop()
 })

From bcea1efe2c2d90c8066b638bd86dd80c16a69512 Mon Sep 17 00:00:00 2001
From: danielinteractive <danielinteractive@users.noreply.github.com>
Date: Wed, 13 Mar 2024 08:19:23 +0000
Subject: [PATCH 04/14] [skip actions] Bump version to 0.1.6.9005

---
 DESCRIPTION | 4 ++--
 NEWS.md     | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 0223066d..3e5e505f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Type: Package
 Package: teal.modules.hermes
 Title: RNA-Seq Analysis Modules to Add to a Teal Application
-Version: 0.1.6.9004
-Date: 2024-03-11
+Version: 0.1.6.9005
+Date: 2024-03-13
 Authors@R: c(
     person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@roche.com", role = c("aut", "cre")),
     person("Nikolas", "Burkoff", role = "aut"),
diff --git a/NEWS.md b/NEWS.md
index 60a24293..a01d564a 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# teal.modules.hermes 0.1.6.9004
+# teal.modules.hermes 0.1.6.9005
 
 ### Miscellaneous
 * Added placeholders for `assaySpec`, `adtteSpec` and `geneSpec` inputs when no option is selected.

From 0a32112c0fb1725a3cfaccb0b98b030d8c35dfc1 Mon Sep 17 00:00:00 2001
From: kartikeya kirar <kirar.kartikeya1@gmail.com>
Date: Fri, 15 Mar 2024 11:51:55 +0530
Subject: [PATCH 05/14] 445 unify html tags (#367)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

part of https://github.com/insightsengineering/teal.slice/issues/445
for teal.modules.hermes package

Co-authored-by: André Veríssimo <211358+averissimo@users.noreply.github.com>
---
 R/adtteSpec.R                                 |  2 +-
 R/assaySpec.R                                 |  2 +-
 R/barplot.R                                   |  2 +-
 R/boxplot.R                                   |  2 +-
 R/experimentSpec.R                            |  4 ++--
 R/forestplot.R                                |  2 +-
 R/geneSpec.R                                  | 20 +++++++++----------
 R/km.R                                        |  2 +-
 R/pca.R                                       |  8 ++++----
 R/quality.R                                   |  2 +-
 R/sampleVarSpec.R                             | 14 ++++++-------
 R/scatterplot.R                               |  2 +-
 R/volcanoplot.R                               |  4 ++--
 design/design_barplot.Rmd                     |  2 +-
 design/design_boxplot.Rmd                     |  2 +-
 design/design_combine_levels.Rmd              | 16 +++++++--------
 .../design_differetial_expression_module.Rmd  |  2 +-
 design/design_gene_names.R                    |  2 +-
 design/design_km.Rmd                          |  4 ++--
 design/design_scatterplot.Rmd                 |  2 +-
 design/design_signature.Rmd                   | 16 +++++++--------
 design/design_signature_module.Rmd            | 16 +++++++--------
 design/design_survival_forest.Rmd             |  2 +-
 design/desing_pca_filter.R                    |  6 +++---
 design/mae_cdisc_example.R                    |  4 ++--
 design/observer_problem.R                     |  2 +-
 design/slow_module_2.R                        |  2 +-
 man/adtteSpecServer.Rd                        |  2 +-
 man/assaySpecServer.Rd                        |  2 +-
 man/experimentSpecServer.Rd                   |  4 ++--
 man/geneSpecServer.Rd                         |  2 +-
 man/sampleVarSpecServer.Rd                    |  2 +-
 tests/testthat/adtteSpec/app.R                |  2 +-
 tests/testthat/assaySpec/app.R                |  2 +-
 tests/testthat/experimentSpec/app.R           |  4 ++--
 tests/testthat/geneSpec/app.R                 |  2 +-
 tests/testthat/sampleVarSpec/app.R            |  2 +-
 vignettes/Getting_Started.Rmd                 |  2 +-
 38 files changed, 85 insertions(+), 85 deletions(-)

diff --git a/R/adtteSpec.R b/R/adtteSpec.R
index 026d3daa..c31e0c43 100644
--- a/R/adtteSpec.R
+++ b/R/adtteSpec.R
@@ -162,7 +162,7 @@ adtteSpecInput <- function(inputId, # nolint
 #'   checkmate::assert_class(shiny::isolate(data()), "teal_data")
 #'   moduleServer(id, function(input, output, session) {
 #'     output$encoding_ui <- renderUI({
-#'       div(
+#'       tags$div(
 #'         experimentSpecInput(session$ns("experiment"), data, mae_name = "MAE"),
 #'         assaySpecInput(session$ns("assay")),
 #'         geneSpecInput(session$ns("genes"), funs = list(Mean = colMeans)),
diff --git a/R/assaySpec.R b/R/assaySpec.R
index 60770b36..d798fc90 100644
--- a/R/assaySpec.R
+++ b/R/assaySpec.R
@@ -55,7 +55,7 @@ assaySpecInput <- function(inputId, # nolint
 #' server <- function(id, data, filter_panel_api) {
 #'   moduleServer(id, module = function(input, output, session) {
 #'     output$encoding_ui <- renderUI({
-#'       div(
+#'       tags$div(
 #'         experimentSpecInput(session$ns("experiment"), data, "MAE"),
 #'         assaySpecInput(
 #'           session$ns("assay"),
diff --git a/R/barplot.R b/R/barplot.R
index 0f6e4595..a221827e 100644
--- a/R/barplot.R
+++ b/R/barplot.R
@@ -72,7 +72,7 @@ ui_g_barplot <- function(id,
                          post_output) {
   ns <- NS(id)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       ### Reporter
       teal.reporter::simple_reporter_ui(ns("simple_reporter")),
       ###
diff --git a/R/boxplot.R b/R/boxplot.R
index 4057a61b..bdccb1db 100644
--- a/R/boxplot.R
+++ b/R/boxplot.R
@@ -73,7 +73,7 @@ ui_g_boxplot <- function(id,
                          post_output) {
   ns <- NS(id)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       ### Reporter
       teal.reporter::simple_reporter_ui(ns("simple_reporter")),
       ###
diff --git a/R/experimentSpec.R b/R/experimentSpec.R
index da953fc8..3dc7b516 100644
--- a/R/experimentSpec.R
+++ b/R/experimentSpec.R
@@ -132,7 +132,7 @@ h_gene_data <- function(object, name_annotation) {
 #'   ns <- NS(id)
 #'   teal.widgets::standard_layout(
 #'     encoding = uiOutput(ns("encoding_ui")),
-#'     output = div(
+#'     output = tags$div(
 #'       verbatimTextOutput(ns("summary")),
 #'       verbatimTextOutput(ns("head"))
 #'     )
@@ -145,7 +145,7 @@ h_gene_data <- function(object, name_annotation) {
 #'                    mae_name) {
 #'   moduleServer(id, function(input, output, session) {
 #'     output$encoding_ui <- renderUI({
-#'       div(
+#'       tags$div(
 #'         experimentSpecInput(
 #'           session$ns("my_experiment"),
 #'           data,
diff --git a/R/forestplot.R b/R/forestplot.R
index 3e9665cc..36ce927b 100644
--- a/R/forestplot.R
+++ b/R/forestplot.R
@@ -99,7 +99,7 @@ ui_g_forest_tte <- function(id,
                             post_output) {
   ns <- NS(id)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       ### Reporter
       teal.reporter::simple_reporter_ui(ns("simple_reporter")),
       ###
diff --git a/R/geneSpec.R b/R/geneSpec.R
index 522fb8ea..1552302f 100644
--- a/R/geneSpec.R
+++ b/R/geneSpec.R
@@ -47,39 +47,39 @@ geneSpecInput <- function(inputId, # nolint
   ns <- NS(inputId)
   tagList(
     include_css_files(pattern = "*"),
-    div(
+    tags$div(
       class = "row",
-      div(
+      tags$div(
         class = "col-sm-8",
         tags$label(
           class = "control-label",
           label_genes
         )
       ),
-      div(
+      tags$div(
         class = "col-sm-2",
         actionButton(
           ns("select_none_button"),
-          span(icon("remove-circle", lib = "glyphicon")),
+          tags$span(icon("remove-circle", lib = "glyphicon")),
           title = label_select_none_button,
           class = "pull-right list-genes"
         ),
         actionButton(
           ns("select_all_button"),
-          span(icon("ok-circle", lib = "glyphicon")),
+          tags$span(icon("ok-circle", lib = "glyphicon")),
           title = label_select_all_button,
           class = "pull-right list-genes"
         )
       ),
-      div(
+      tags$div(
         class = "col-sm-2",
         actionButton(
           ns("text_button"),
-          span(icon("fas fa-font")),
+          tags$span(icon("fas fa-font")),
           title = label_text_button,
           class = "pull-right list-genes"
         ),
-        div(
+        tags$div(
           class = "pull-right",
           title = label_lock_button,
           shinyWidgets::prettyToggle(
@@ -98,7 +98,7 @@ geneSpecInput <- function(inputId, # nolint
         )
       )
     ),
-    div(
+    tags$div(
       class = "custom-select-input",
       selectizeInput(
         ns("genes"),
@@ -222,7 +222,7 @@ h_parse_genes <- function(words, choices) {
 #' ui <- function(id, funs) {
 #'   ns <- NS(id)
 #'   teal.widgets::standard_layout(
-#'     encoding = div(
+#'     encoding = tags$div(
 #'       geneSpecInput(
 #'         ns("my_genes"),
 #'         funs = funs,
diff --git a/R/km.R b/R/km.R
index 06f46833..9f72906e 100644
--- a/R/km.R
+++ b/R/km.R
@@ -100,7 +100,7 @@ ui_g_km <- function(id,
                     post_output) {
   ns <- NS(id)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       ### Reporter
       teal.reporter::simple_reporter_ui(ns("simple_reporter")),
       ###
diff --git a/R/pca.R b/R/pca.R
index 4c07acf5..1e1871e5 100644
--- a/R/pca.R
+++ b/R/pca.R
@@ -65,7 +65,7 @@ ui_g_pca <- function(id,
   tagList(
     teal.widgets::standard_layout(
       include_css_files(pattern = "*"),
-      encoding = div(
+      encoding = tags$div(
         ### Reporter
         teal.reporter::simple_reporter_ui(ns("simple_reporter")),
         ###
@@ -111,7 +111,7 @@ ui_g_pca <- function(id,
           )
         )
       ),
-      output = div(
+      output = tags$div(
         style = "display:flow-root",
         tabsetPanel(
           id = ns("tab_selected"),
@@ -120,7 +120,7 @@ ui_g_pca <- function(id,
             "PCA",
             column(
               width = 12,
-              div(
+              tags$div(
                 class = "my-5",
                 teal.widgets::plot_with_settings_ui(ns("plot_pca"))
               ),
@@ -131,7 +131,7 @@ ui_g_pca <- function(id,
             "PC and Sample Correlation",
             column(
               width = 12,
-              div(
+              tags$div(
                 class = "my-5",
                 teal.widgets::plot_with_settings_ui(ns("plot_cor"))
               ),
diff --git a/R/quality.R b/R/quality.R
index d2d17f8c..8c5dc805 100644
--- a/R/quality.R
+++ b/R/quality.R
@@ -116,7 +116,7 @@ ui_g_quality <- function(id,
                          post_output) {
   ns <- NS(id)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       ### Reporter
       teal.reporter::simple_reporter_ui(ns("simple_reporter")),
       ###
diff --git a/R/sampleVarSpec.R b/R/sampleVarSpec.R
index 0aa3f00c..72d0193c 100644
--- a/R/sampleVarSpec.R
+++ b/R/sampleVarSpec.R
@@ -24,26 +24,26 @@ sampleVarSpecInput <- function(inputId, # nolint
   ns <- NS(inputId)
   tagList(
     include_css_files(pattern = "*"),
-    div(
+    tags$div(
       class = "row",
-      div(
+      tags$div(
         class = "col-sm-8",
         tags$label(
           class = "control-label",
           label_vars
         )
       ),
-      div(
+      tags$div(
         class = "col-sm-4",
         actionButton(
           ns("levels_button"),
-          span(icon("fas fa-table")),
+          tags$span(icon("fas fa-table")),
           title = label_levels_button,
           class = "pull-right list-genes"
         )
       )
     ),
-    div(
+    tags$div(
       class = "custom-select-input",
       teal.widgets::optionalSelectInput(
         ns("sample_var"),
@@ -218,7 +218,7 @@ validate_n_levels <- function(x, name, n_levels) {
 #'     output$encoding_ui <- renderUI({
 #'       mae <- data()[["MAE"]]
 #'       experiment_name_choices <- names(mae)
-#'       div(
+#'       tags$div(
 #'         selectInput(session$ns("experiment_name"), "Select experiment", experiment_name_choices),
 #'         sampleVarSpecInput(session$ns("facet_var"), "Select faceting variable")
 #'       )
@@ -390,7 +390,7 @@ sampleVarSpecServer <- function(id, # nolint
           choices = seq_len(n_max_groups),
           selected = selected_groups
         ),
-        span(label_modal_title),
+        tags$span(label_modal_title),
         footer = tagList(
           modalButton("Cancel"),
           actionButton(session$ns("ok"), "OK")
diff --git a/R/scatterplot.R b/R/scatterplot.R
index 42cde8c3..2004144c 100644
--- a/R/scatterplot.R
+++ b/R/scatterplot.R
@@ -79,7 +79,7 @@ ui_g_scatterplot <- function(id,
   )
 
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       ### Reporter
       teal.reporter::simple_reporter_ui(ns("simple_reporter")),
       ###
diff --git a/R/volcanoplot.R b/R/volcanoplot.R
index b9865c88..217ac1a0 100644
--- a/R/volcanoplot.R
+++ b/R/volcanoplot.R
@@ -64,13 +64,13 @@ ui_g_volcanoplot <- function(id,
   ns <- NS(id)
 
   teal.widgets::standard_layout(
-    output = div(
+    output = tags$div(
       teal.widgets::plot_with_settings_ui(ns("plot")),
       DT::DTOutput(ns("table"))
     ),
     pre_output = pre_output,
     post_output = post_output,
-    encoding = div(
+    encoding = tags$div(
       ### Reporter
       teal.reporter::simple_reporter_ui(ns("simple_reporter")),
       ###
diff --git a/design/design_barplot.Rmd b/design/design_barplot.Rmd
index 7ac468a8..ef54ce61 100644
--- a/design/design_barplot.Rmd
+++ b/design/design_barplot.Rmd
@@ -139,7 +139,7 @@ ui_barplot <- function(id, datasets, dataname) {
   mae <- datasets$get_data(dataname, filtered = TRUE)
   teal.widgets::standard_layout(
     output = plotOutput(ns("plot")),
-    encoding = div(
+    encoding = tags$div(
       tags$label("Encodings", class = "text-primary"),
       helpText("Analysis Data:", tags$code(dataname)),
       selectInput(ns("experiment"), "experiment", names(mae)),
diff --git a/design/design_boxplot.Rmd b/design/design_boxplot.Rmd
index fe426631..c3bf05c0 100644
--- a/design/design_boxplot.Rmd
+++ b/design/design_boxplot.Rmd
@@ -126,7 +126,7 @@ ui_boxplot <- function(id, datasets, dataname) {
   mae <- datasets$get_data(dataname, filtered = TRUE)
   teal.widgets::standard_layout(
     output = plotOutput(ns("plot")),
-    encoding = div(
+    encoding = tags$div(
       tags$label("Encodings", class = "text-primary"),
       helpText("Analysis Data:", tags$code(dataname)),
       selectInput(ns("experiment"), "experiment", names(mae)),
diff --git a/design/design_combine_levels.Rmd b/design/design_combine_levels.Rmd
index a31c6ad3..1526a260 100644
--- a/design/design_combine_levels.Rmd
+++ b/design/design_combine_levels.Rmd
@@ -216,28 +216,28 @@ ui_g_levels <- function(id,
   tagList(
     include_css_files(pattern = "*"),
     teal.widgets::standard_layout(
-      encoding = div(
+      encoding = tags$div(
         selectInput(ns("experiment_name"), "Select experiment", experiment_name_choices),
-        div(
+        tags$div(
           class = "row",
-          div(
+          tags$div(
             class = "col-sm-8",
             tags$label(
               class = "control-label",
               "Select faceting variable"
             )
           ),
-          div(
+          tags$div(
             class = "col-sm-4",
             actionButton(
               ns("open_levels_input"),
-              span(icon("font fa-object-ungroup")),
+              tags$span(icon("font fa-object-ungroup")),
               title = "Combine factor levels",
               class = "pull-right list-genes"
             )
           )
         ),
-        div(
+        tags$div(
           class = "custom-select-input",
           teal.widgets::optionalSelectInput(
             ns("facet_var"),
@@ -351,7 +351,7 @@ srv_g_levels <- function(input,
         choices = seq_len(n_max_groups),
         selected = selected_groups
       ),
-      span(
+      tags$span(
         "Please click to group the original factor levels"
       ),
       footer = tagList(
@@ -491,7 +491,7 @@ ui_example <- function(id,
   mae <- datasets$get_data(mae_name, filtered = FALSE)
   experiment_name_choices <- names(mae)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       selectInput(ns("experiment_name"), "Select experiment", experiment_name_choices),
       sampleVarSpecInput(ns("facet_var"), "Select faceting variable")
     ),
diff --git a/design/design_differetial_expression_module.Rmd b/design/design_differetial_expression_module.Rmd
index 66b8beab..a7745add 100644
--- a/design/design_differetial_expression_module.Rmd
+++ b/design/design_differetial_expression_module.Rmd
@@ -49,7 +49,7 @@ ui_volcanoplot <- function(id, datasets, dataname) {
 
   teal.widgets::standard_layout(
     output = plotOutput(ns("plot")),
-    encoding = div(
+    encoding = tags$div(
       selectInput(ns("experiment_name"), "Select experiment", names(mae)),
       selectInput(ns("facetvar"), "Facet by", choices = c("SEX" = "SEX", "AGE18" = "AGE18")),
       sliderInput(ns("log2_fc_thresh"), "Log2 folder change threshold", value = 2.5, min = 0.1, max = 10),
diff --git a/design/design_gene_names.R b/design/design_gene_names.R
index 4aa904ec..c030c243 100644
--- a/design/design_gene_names.R
+++ b/design/design_gene_names.R
@@ -4,7 +4,7 @@ ui <- function(id,
                datasets) {
   ns <- NS(id)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       teal.widgets::optionalSelectInput(
         ns("genes"),
         label = NULL,
diff --git a/design/design_km.Rmd b/design/design_km.Rmd
index 1cc103d8..8eeb21a4 100644
--- a/design/design_km.Rmd
+++ b/design/design_km.Rmd
@@ -44,7 +44,7 @@ ui_made_up_merge_pr <- function(id, ...) {
         tabPanel(title = "ADSL", verbatimTextOutput(outputId = ns("adsl_data_table")))
       )
     ),
-    encoding = div(
+    encoding = tags$div(
       teal.widgets::optionalSelectInput(
         inputId = ns("select_experiment"),
         label = "Select experiment",
@@ -78,7 +78,7 @@ ui_made_up_merge_pr <- function(id, ...) {
         choices = c("12", "24", "36", "48", "60", "72", "84", "96")
       )
     ),
-    forms = div(
+    forms = tags$div(
       actionButton(ns("show_rcode"), "Show R Code", width = "100%")
     )
   )
diff --git a/design/design_scatterplot.Rmd b/design/design_scatterplot.Rmd
index 61f01bb9..b9bd53e5 100644
--- a/design/design_scatterplot.Rmd
+++ b/design/design_scatterplot.Rmd
@@ -113,7 +113,7 @@ ui_scatterplot <- function(id, datasets, dataname) {
   mae <- datasets$get_data(dataname, filtered = TRUE)
   teal.widgets::standard_layout(
     output = plotOutput(ns("plot")),
-    encoding = div(
+    encoding = tags$div(
       tags$label("Encodings", class = "text-primary"),
       helpText("Analysis Data:", tags$code(dataname)),
       selectInput(ns("experiment"), "experiment", names(mae)),
diff --git a/design/design_signature.Rmd b/design/design_signature.Rmd
index 65452c28..c419382b 100644
--- a/design/design_signature.Rmd
+++ b/design/design_signature.Rmd
@@ -189,27 +189,27 @@ ui_g_signature <- function(id,
   tagList(
     include_css_files(pattern = "*"),
     teal.widgets::standard_layout(
-      encoding = div(
+      encoding = tags$div(
         selectInput(ns("experiment_name"), "Select experiment", experiment_name_choices),
         selectInput(ns("assay_name"), "Select assay", choices = ""),
-        div(
+        tags$div(
           class = "row",
-          div(
+          tags$div(
             class = "col-sm-8",
             tags$label(
               class = "control-label",
               "Select gene(s) of interest"
             )
           ),
-          div(
+          tags$div(
             class = "col-sm-4",
             actionButton(
               ns("open_text_input"),
-              span(icon("font fa-border")),
+              tags$span(icon("font fa-border")),
               title = "Enter list of genes",
               class = "pull-right list-genes"
             ),
-            div(
+            tags$div(
               class = "pull-right",
               title = "Lock gene selection",
               shinyWidgets::prettyToggle(
@@ -228,7 +228,7 @@ ui_g_signature <- function(id,
             )
           )
         ),
-        div(
+        tags$div(
           class = "custom-select-input",
           teal.widgets::optionalSelectInput(
             ns("y_vars"),
@@ -390,7 +390,7 @@ srv_g_signature <- function(input,
         "Enter list of genes",
         placeholder = example_list
       ),
-      span(
+      tags$span(
         "Please enter a comma-separated list of gene IDs.",
         "(Note that genes not included in current choices will be removed)"
       ),
diff --git a/design/design_signature_module.Rmd b/design/design_signature_module.Rmd
index d6465f48..a60685df 100644
--- a/design/design_signature_module.Rmd
+++ b/design/design_signature_module.Rmd
@@ -217,24 +217,24 @@ geneSpecInput <- function(id, # nolint
   ns <- NS(id)
   tagList(
     include_css_files(pattern = "*"),
-    div(
+    tags$div(
       class = "row",
-      div(
+      tags$div(
         class = "col-sm-8",
         tags$label(
           class = "control-label",
           paste("Select", axis, "gene(s)")
         )
       ),
-      div(
+      tags$div(
         class = "col-sm-4",
         actionButton(
           ns("open_text_input"),
-          span(icon("font fa-border")),
+          tags$span(icon("font fa-border")),
           title = "Enter list of genes",
           class = "pull-right list-genes"
         ),
-        div(
+        tags$div(
           class = "pull-right",
           title = "Lock gene selection",
           shinyWidgets::prettyToggle(
@@ -253,7 +253,7 @@ geneSpecInput <- function(id, # nolint
         )
       )
     ),
-    div(
+    tags$div(
       class = "custom-select-input",
       teal.widgets::optionalSelectInput(
         ns("genes"),
@@ -367,7 +367,7 @@ geneSpecServer <- function(id, # nolint
           "Enter list of genes",
           placeholder = example_list
         ),
-        span(
+        tags$span(
           "Please enter a comma-separated list of gene IDs.",
           "(Note that genes not included in current choices will be removed)"
         ),
@@ -481,7 +481,7 @@ ui_g_signature <- function(id,
   experiment_name_choices <- names(mae)
 
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       selectInput(ns("experiment_name"), "Select experiment", experiment_name_choices),
       selectInput(ns("assay_name"), "Select assay", choices = ""),
       geneSpecInput(ns("x_spec"), "x", summary_funs),
diff --git a/design/design_survival_forest.Rmd b/design/design_survival_forest.Rmd
index d97d18fb..4000bd94 100644
--- a/design/design_survival_forest.Rmd
+++ b/design/design_survival_forest.Rmd
@@ -170,7 +170,7 @@ ui_surv_forest <- function(id, datasets, dataname) {
   mae <- datasets$get_data(dataname, filtered = TRUE)
   experiment_name_choices <- names(mae)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       tags$label("Encodings", class = "text-primary"),
       helpText("Analysis of MAE:", tags$code(dataname)),
       selectInput(ns("experiment_name"), "Select Experiment", experiment_name_choices),
diff --git a/design/desing_pca_filter.R b/design/desing_pca_filter.R
index 66fee796..41aac74e 100644
--- a/design/desing_pca_filter.R
+++ b/design/desing_pca_filter.R
@@ -38,7 +38,7 @@ ui_g_pca2 <- function(id,
   tagList(
     include_css_files(pattern = "*"),
     teal.widgets::standard_layout(
-      encoding = div(
+      encoding = tags$div(
         tags$label("Encodings", class = "text-primary"),
         helpText("Analysis of MAE:", tags$code(mae_name)),
         selectInput(ns("experiment_name"), "Select experiment", experiment_name_choices),
@@ -78,7 +78,7 @@ ui_g_pca2 <- function(id,
             "PCA",
             column(
               width = 12,
-              div(
+              tags$div(
                 class = "my-5",
                 plotOutput(ns("plot_pca"))
               ),
@@ -89,7 +89,7 @@ ui_g_pca2 <- function(id,
             "PC and Sample Correlation",
             column(
               width = 12,
-              div(
+              tags$div(
                 class = "my-5",
                 plotOutput(ns("plot_cor"))
               ),
diff --git a/design/mae_cdisc_example.R b/design/mae_cdisc_example.R
index 0135ea73..a9020447 100644
--- a/design/mae_cdisc_example.R
+++ b/design/mae_cdisc_example.R
@@ -26,7 +26,7 @@ ui_made_up_merge_pr <- function(id, ...) {
         tabPanel(title = "ADSL", verbatimTextOutput(outputId = ns("adsl_data_table")))
       )
     ),
-    encoding = div(
+    encoding = tags$div(
       teal.widgets::optionalSelectInput(
         inputId = "select_assay",
         label = "Select assay",
@@ -43,7 +43,7 @@ ui_made_up_merge_pr <- function(id, ...) {
         choices = 1:10
       )
     ),
-    forms = div(
+    forms = tags$div(
       actionButton(ns("show_rcode"), "Show R Code", width = "100%")
     )
   )
diff --git a/design/observer_problem.R b/design/observer_problem.R
index 36c226a4..b15e4da1 100644
--- a/design/observer_problem.R
+++ b/design/observer_problem.R
@@ -33,7 +33,7 @@ ui_g_scatterplot <- function(id,
   experiment_name_choices <- c("a", "b", "c")
 
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       tags$label("Encodings", class = "text-primary"),
       helpText("Analysis of MAE:", tags$code(mae_name)),
       selectInput(ns("experiment_name"), "Select experiment", experiment_name_choices, experiment_name_choices[1]),
diff --git a/design/slow_module_2.R b/design/slow_module_2.R
index f23ea791..471b3f2d 100644
--- a/design/slow_module_2.R
+++ b/design/slow_module_2.R
@@ -20,7 +20,7 @@ ui <- function(id,
   ns <- NS(id)
 
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       experimentSpecInput(ns("experiment"), datasets, mae_name),
       assaySpecInput(ns("assay")),
       geneSpecInput(ns("genes"), funs = list(None = NULL))
diff --git a/man/adtteSpecServer.Rd b/man/adtteSpecServer.Rd
index 6c63863e..9df84670 100644
--- a/man/adtteSpecServer.Rd
+++ b/man/adtteSpecServer.Rd
@@ -88,7 +88,7 @@ server <- function(id, data, filter_panel_api) {
   checkmate::assert_class(shiny::isolate(data()), "teal_data")
   moduleServer(id, function(input, output, session) {
     output$encoding_ui <- renderUI({
-      div(
+      tags$div(
         experimentSpecInput(session$ns("experiment"), data, mae_name = "MAE"),
         assaySpecInput(session$ns("assay")),
         geneSpecInput(session$ns("genes"), funs = list(Mean = colMeans)),
diff --git a/man/assaySpecServer.Rd b/man/assaySpecServer.Rd
index 77979dfb..816914ae 100644
--- a/man/assaySpecServer.Rd
+++ b/man/assaySpecServer.Rd
@@ -34,7 +34,7 @@ ui <- function(id) {
 server <- function(id, data, filter_panel_api) {
   moduleServer(id, module = function(input, output, session) {
     output$encoding_ui <- renderUI({
-      div(
+      tags$div(
         experimentSpecInput(session$ns("experiment"), data, "MAE"),
         assaySpecInput(
           session$ns("assay"),
diff --git a/man/experimentSpecServer.Rd b/man/experimentSpecServer.Rd
index 894969c2..78172a11 100644
--- a/man/experimentSpecServer.Rd
+++ b/man/experimentSpecServer.Rd
@@ -56,7 +56,7 @@ ui <- function(id,
   ns <- NS(id)
   teal.widgets::standard_layout(
     encoding = uiOutput(ns("encoding_ui")),
-    output = div(
+    output = tags$div(
       verbatimTextOutput(ns("summary")),
       verbatimTextOutput(ns("head"))
     )
@@ -69,7 +69,7 @@ server <- function(id,
                    mae_name) {
   moduleServer(id, function(input, output, session) {
     output$encoding_ui <- renderUI({
-      div(
+      tags$div(
         experimentSpecInput(
           session$ns("my_experiment"),
           data,
diff --git a/man/geneSpecServer.Rd b/man/geneSpecServer.Rd
index 8ec0e647..d9d1917c 100644
--- a/man/geneSpecServer.Rd
+++ b/man/geneSpecServer.Rd
@@ -39,7 +39,7 @@ This defines the server part for the gene signature specification.
 ui <- function(id, funs) {
   ns <- NS(id)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       geneSpecInput(
         ns("my_genes"),
         funs = funs,
diff --git a/man/sampleVarSpecServer.Rd b/man/sampleVarSpecServer.Rd
index 956ff126..e218e58c 100644
--- a/man/sampleVarSpecServer.Rd
+++ b/man/sampleVarSpecServer.Rd
@@ -75,7 +75,7 @@ server <- function(id,
     output$encoding_ui <- renderUI({
       mae <- data()[["MAE"]]
       experiment_name_choices <- names(mae)
-      div(
+      tags$div(
         selectInput(session$ns("experiment_name"), "Select experiment", experiment_name_choices),
         sampleVarSpecInput(session$ns("facet_var"), "Select faceting variable")
       )
diff --git a/tests/testthat/adtteSpec/app.R b/tests/testthat/adtteSpec/app.R
index e527ad55..69b1bb56 100644
--- a/tests/testthat/adtteSpec/app.R
+++ b/tests/testthat/adtteSpec/app.R
@@ -4,7 +4,7 @@ ui <- function(id) {
   ns <- NS(id)
 
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       uiOutput(ns("experiment_ui")),
       assaySpecInput(ns("assay")),
       geneSpecInput(ns("genes"), funs = list(Mean = colMeans)),
diff --git a/tests/testthat/assaySpec/app.R b/tests/testthat/assaySpec/app.R
index 37b8303a..0c260024 100644
--- a/tests/testthat/assaySpec/app.R
+++ b/tests/testthat/assaySpec/app.R
@@ -4,7 +4,7 @@ ui <- function(id) {
   ns <- NS(id)
 
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       uiOutput(ns("experiment_ui")),
       assaySpecInput(
         ns("assay"),
diff --git a/tests/testthat/experimentSpec/app.R b/tests/testthat/experimentSpec/app.R
index a7dec504..16183df8 100644
--- a/tests/testthat/experimentSpec/app.R
+++ b/tests/testthat/experimentSpec/app.R
@@ -3,7 +3,7 @@ library(teal.modules.hermes)
 ui <- function(id) {
   ns <- NS(id)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       uiOutput(ns("experiment_ui")),
       selectInput(
         ns("property"),
@@ -11,7 +11,7 @@ ui <- function(id) {
         c("data", "name", "genes", "assays")
       )
     ),
-    output = div(
+    output = tags$div(
       verbatimTextOutput(ns("summary")),
       verbatimTextOutput(ns("head"))
     )
diff --git a/tests/testthat/geneSpec/app.R b/tests/testthat/geneSpec/app.R
index 9484d05b..435d81c7 100644
--- a/tests/testthat/geneSpec/app.R
+++ b/tests/testthat/geneSpec/app.R
@@ -3,7 +3,7 @@ library(teal.modules.hermes)
 ui <- function(id, funs) {
   ns <- NS(id)
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       geneSpecInput(
         ns("my_genes"),
         funs = funs,
diff --git a/tests/testthat/sampleVarSpec/app.R b/tests/testthat/sampleVarSpec/app.R
index bc85bb5d..03811cfe 100644
--- a/tests/testthat/sampleVarSpec/app.R
+++ b/tests/testthat/sampleVarSpec/app.R
@@ -4,7 +4,7 @@ ui <- function(id) {
   ns <- NS(id)
 
   teal.widgets::standard_layout(
-    encoding = div(
+    encoding = tags$div(
       uiOutput(ns("experiment_ui")),
       sampleVarSpecInput(ns("facet_var"), "Select variable")
     ),
diff --git a/vignettes/Getting_Started.Rmd b/vignettes/Getting_Started.Rmd
index 2cd05961..1e2b6970 100644
--- a/vignettes/Getting_Started.Rmd
+++ b/vignettes/Getting_Started.Rmd
@@ -59,7 +59,7 @@ srv <- function(input,
                 filter_panel_api,
                 mae_name) {
   output$encoding_ui <- renderUI({
-    div(
+    tags$div(
       experimentSpecInput(session$ns("experiment"), data, mae_name),
       assaySpecInput(session$ns("assay"))
     )

From d6326b5a776f55628984abc1c6c9873405bd4c29 Mon Sep 17 00:00:00 2001
From: kartikeyakirar <kartikeyakirar@users.noreply.github.com>
Date: Fri, 15 Mar 2024 06:22:57 +0000
Subject: [PATCH 06/14] [skip actions] Bump version to 0.1.6.9006

---
 DESCRIPTION | 4 ++--
 NEWS.md     | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 3e5e505f..62cf8386 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Type: Package
 Package: teal.modules.hermes
 Title: RNA-Seq Analysis Modules to Add to a Teal Application
-Version: 0.1.6.9005
-Date: 2024-03-13
+Version: 0.1.6.9006
+Date: 2024-03-15
 Authors@R: c(
     person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@roche.com", role = c("aut", "cre")),
     person("Nikolas", "Burkoff", role = "aut"),
diff --git a/NEWS.md b/NEWS.md
index a01d564a..0fb92b92 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# teal.modules.hermes 0.1.6.9005
+# teal.modules.hermes 0.1.6.9006
 
 ### Miscellaneous
 * Added placeholders for `assaySpec`, `adtteSpec` and `geneSpec` inputs when no option is selected.

From 3336364f2c658a7d243b69fd7263ebca59615c4c Mon Sep 17 00:00:00 2001
From: Pawel Rucki <12943682+pawelru@users.noreply.github.com>
Date: Wed, 20 Mar 2024 15:29:39 +0100
Subject: [PATCH 07/14] register teal.logger handlers (#354)

close https://github.com/insightsengineering/coredev-tasks/issues/502
test with https://github.com/insightsengineering/teal.logger/pull/73

As a bonus, we can safely move `logger` to suggests (it's still used in
tests)

---------

Signed-off-by: Pawel Rucki <12943682+pawelru@users.noreply.github.com>
Co-authored-by: Dony Unardi <donyunardi@gmail.com>
---
 .pre-commit-config.yaml | 1 -
 DESCRIPTION             | 4 ++--
 R/barplot.R             | 2 +-
 R/boxplot.R             | 2 +-
 R/forestplot.R          | 2 +-
 R/km.R                  | 2 +-
 R/pca.R                 | 2 +-
 R/scatterplot.R         | 2 +-
 R/volcanoplot.R         | 2 +-
 R/zzz.R                 | 1 +
 10 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index c34dab47..84f0a320 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -24,7 +24,6 @@ repos:
           - forcats
           - bioc::hermes
           - lifecycle
-          - logger
           - bioc::MultiAssayExperiment
           - rtables
           - S4Vectors
diff --git a/DESCRIPTION b/DESCRIPTION
index 62cf8386..a2d9141c 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -40,7 +40,6 @@ Imports:
     forcats,
     hermes (>= 1.7.1),
     lifecycle,
-    logger (>= 0.2.0),
     MultiAssayExperiment,
     rtables (>= 0.5.1),
     S4Vectors,
@@ -50,7 +49,7 @@ Imports:
     stringr,
     SummarizedExperiment,
     teal.data (>= 0.3.0.9018),
-    teal.logger (>= 0.1.1),
+    teal.logger (>= 0.1.3.9013),
     teal.reporter (>= 0.2.0),
     teal.widgets (>= 0.4.0),
     tern (>= 0.7.10)
@@ -60,6 +59,7 @@ Suggests:
     dplyr,
     globals,
     knitr,
+    logger (>= 0.2.0),
     matrixStats,
     R6,
     rmarkdown,
diff --git a/R/barplot.R b/R/barplot.R
index a221827e..11b5deb9 100644
--- a/R/barplot.R
+++ b/R/barplot.R
@@ -35,7 +35,7 @@ tm_g_barplot <- function(label,
                          ),
                          pre_output = NULL,
                          post_output = NULL) {
-  logger::log_info("Initializing tm_g_barplot")
+  message("Initializing tm_g_barplot")
   assert_string(label)
   assert_string(mae_name)
   assert_character(exclude_assays)
diff --git a/R/boxplot.R b/R/boxplot.R
index bdccb1db..7eccbb6f 100644
--- a/R/boxplot.R
+++ b/R/boxplot.R
@@ -36,7 +36,7 @@ tm_g_boxplot <- function(label,
                          ),
                          pre_output = NULL,
                          post_output = NULL) {
-  logger::log_info("Initializing tm_g_boxplot")
+  message("Initializing tm_g_boxplot")
   assert_string(label)
   assert_string(mae_name)
   assert_character(exclude_assays, any.missing = FALSE)
diff --git a/R/forestplot.R b/R/forestplot.R
index 36ce927b..8374e4da 100644
--- a/R/forestplot.R
+++ b/R/forestplot.R
@@ -54,7 +54,7 @@ tm_g_forest_tte <- function(label,
                             post_output = NULL,
                             plot_height = c(600L, 200L, 2000L),
                             plot_width = c(1360L, 500L, 2000L)) {
-  logger::log_info("Initializing tm_g_forest_tte")
+  message("Initializing tm_g_forest_tte")
   assert_string(label)
   assert_string(adtte_name)
   assert_string(mae_name)
diff --git a/R/km.R b/R/km.R
index 9f72906e..b2ff88f6 100644
--- a/R/km.R
+++ b/R/km.R
@@ -57,7 +57,7 @@ tm_g_km <- function(label,
                     ),
                     pre_output = NULL,
                     post_output = NULL) {
-  logger::log_info("Initializing tm_g_km")
+  message("Initializing tm_g_km")
   assert_string(label)
   assert_string(adtte_name)
   assert_string(mae_name)
diff --git a/R/pca.R b/R/pca.R
index 1e1871e5..a873a29e 100644
--- a/R/pca.R
+++ b/R/pca.R
@@ -30,7 +30,7 @@ tm_g_pca <- function(label,
                      exclude_assays = character(),
                      pre_output = NULL,
                      post_output = NULL) {
-  logger::log_info("Initializing tm_g_pca")
+  message("Initializing tm_g_pca")
   assert_string(label)
   assert_string(mae_name)
   assert_tag(pre_output, null.ok = TRUE)
diff --git a/R/scatterplot.R b/R/scatterplot.R
index 2004144c..6a09a89e 100644
--- a/R/scatterplot.R
+++ b/R/scatterplot.R
@@ -35,7 +35,7 @@ tm_g_scatterplot <- function(label,
                              ),
                              pre_output = NULL,
                              post_output = NULL) {
-  logger::log_info("Initializing tm_g_scatterplot")
+  message("Initializing tm_g_scatterplot")
   assert_string(label)
   assert_string(mae_name)
   assert_character(exclude_assays, any.missing = FALSE)
diff --git a/R/volcanoplot.R b/R/volcanoplot.R
index 217ac1a0..a15989ba 100644
--- a/R/volcanoplot.R
+++ b/R/volcanoplot.R
@@ -30,7 +30,7 @@ tm_g_volcanoplot <- function(label,
                              exclude_assays = character(),
                              pre_output = NULL,
                              post_output = NULL) {
-  logger::log_info("Initializing tm_g_volcanoplot")
+  message("Initializing tm_g_volcanoplot")
   assert_string(label)
   assert_string(mae_name)
   assert_character(exclude_assays)
diff --git a/R/zzz.R b/R/zzz.R
index 3009dba0..c317d6c9 100644
--- a/R/zzz.R
+++ b/R/zzz.R
@@ -1,3 +1,4 @@
 .onLoad <- function(libname, pkgname) { # nolint
   teal.logger::register_logger(namespace = "teal.modules.hermes")
+  teal.logger::register_handlers("teal.modules.hermes")
 }

From 3c89b027745602d693b8cdaae0dec10a825f9e63 Mon Sep 17 00:00:00 2001
From: pawelru <pawelru@users.noreply.github.com>
Date: Wed, 20 Mar 2024 14:30:35 +0000
Subject: [PATCH 08/14] [skip actions] Bump version to 0.1.6.9007

---
 DESCRIPTION | 4 ++--
 NEWS.md     | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index a2d9141c..d150f749 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Type: Package
 Package: teal.modules.hermes
 Title: RNA-Seq Analysis Modules to Add to a Teal Application
-Version: 0.1.6.9006
-Date: 2024-03-15
+Version: 0.1.6.9007
+Date: 2024-03-20
 Authors@R: c(
     person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@roche.com", role = c("aut", "cre")),
     person("Nikolas", "Burkoff", role = "aut"),
diff --git a/NEWS.md b/NEWS.md
index 0fb92b92..79de726e 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# teal.modules.hermes 0.1.6.9006
+# teal.modules.hermes 0.1.6.9007
 
 ### Miscellaneous
 * Added placeholders for `assaySpec`, `adtteSpec` and `geneSpec` inputs when no option is selected.

From e12820cf41b4fd12cf3de587da6eb623ea1aab6c Mon Sep 17 00:00:00 2001
From: b_falquet <64274616+BFalquet@users.noreply.github.com>
Date: Mon, 25 Mar 2024 20:40:20 +0100
Subject: [PATCH 09/14] 370 again integration test failures because of snapshot
 changes (#371)

https://github.com/insightsengineering/teal.modules.hermes/issues/370

This is a prototype to replace the plot snapshot testing and avoid test
failure due to minimal changes in the plotting.
- introduce a test argument in the barplot module. If `TRUE`, the
structure (`layer_data`) of the plot is rendered.
- the snapshot test is now performed on the underlying data rather than
on the plot itself

thank you for your review and suggestions

---------

Co-authored-by: benoit <benoit.falquet@roche.com>
---
 R/argument_convention.R                       |   1 +
 R/barplot.R                                   |  35 ++-
 R/boxplot.R                                   |  33 ++-
 R/forestplot.R                                |  37 ++-
 R/km.R                                        |  40 ++-
 R/pca.R                                       |  31 ++-
 R/quality.R                                   |  37 ++-
 R/scatterplot.R                               |  29 +-
 R/volcanoplot.R                               |  28 +-
 man/module_arguments.Rd                       |   2 +
 man/tm_g_barplot.Rd                           |  19 +-
 man/tm_g_boxplot.Rd                           |  19 +-
 man/tm_g_forest_tte.Rd                        |  13 +-
 man/tm_g_km.Rd                                |  20 +-
 man/tm_g_pca.Rd                               |  19 +-
 man/tm_g_quality.Rd                           |  19 +-
 man/tm_g_scatterplot.Rd                       |  19 +-
 man/tm_g_volcanoplot.Rd                       |  12 +-
 tests/testthat/_snaps/barplot.md              |  23 ++
 tests/testthat/_snaps/boxplot.md              |  28 ++
 tests/testthat/_snaps/forest.md               |  12 +
 tests/testthat/_snaps/km.md                   | 260 ++++++++++++++++++
 tests/testthat/_snaps/pca.md                  | 110 ++++++++
 tests/testthat/_snaps/quality.md              | 111 ++++++++
 tests/testthat/_snaps/scatterplot.md          |   5 +
 tests/testthat/_snaps/volcanoplot.md          |  10 +
 .../scatterplot/scatterplot-001.new.png       | Bin 23094 -> 0 bytes
 tests/testthat/barplot/app.R                  |   2 +-
 tests/testthat/boxplot/app.R                  |   2 +-
 tests/testthat/forest_tte/app.R               |   2 +-
 tests/testthat/km/app.R                       |   2 +-
 tests/testthat/pca/app.R                      |   2 +-
 tests/testthat/quality/app.R                  |   2 +-
 tests/testthat/scatterplot/app.R              |   2 +-
 tests/testthat/test-barplot.R                 |  10 +-
 tests/testthat/test-boxplot.R                 |   5 +-
 tests/testthat/test-forest.R                  |   7 +-
 tests/testthat/test-km.R                      |   7 +-
 tests/testthat/test-pca.R                     |  46 +++-
 tests/testthat/test-quality.R                 |  17 +-
 tests/testthat/test-scatterplot.R             |   9 +-
 tests/testthat/test-volcanoplot.R             |   8 +-
 tests/testthat/volcanoplot/app.R              |   2 +-
 43 files changed, 958 insertions(+), 139 deletions(-)
 create mode 100644 tests/testthat/_snaps/barplot.md
 create mode 100644 tests/testthat/_snaps/boxplot.md
 create mode 100644 tests/testthat/_snaps/forest.md
 create mode 100644 tests/testthat/_snaps/km.md
 create mode 100644 tests/testthat/_snaps/pca.md
 create mode 100644 tests/testthat/_snaps/quality.md
 create mode 100644 tests/testthat/_snaps/scatterplot.md
 create mode 100644 tests/testthat/_snaps/volcanoplot.md
 delete mode 100644 tests/testthat/_snaps/windows-4.3/scatterplot/scatterplot-001.new.png

diff --git a/R/argument_convention.R b/R/argument_convention.R
index 11324bf2..ab1316ab 100644
--- a/R/argument_convention.R
+++ b/R/argument_convention.R
@@ -43,6 +43,7 @@
 #' @param plot_width (`list`)\cr list of integers to set the default, minimum,
 #'   and maximum plot width.
 #' @param filter_panel_api (`FilterPanelAPI`)\cr object describing the actual filter panel API.
+#' @param .test (`flag`)\cr whether to display the internal structure of the plot for testing purposes.
 #'
 #' @name module_arguments
 #' @keywords internal
diff --git a/R/barplot.R b/R/barplot.R
index 11b5deb9..c204e596 100644
--- a/R/barplot.R
+++ b/R/barplot.R
@@ -34,7 +34,8 @@ tm_g_barplot <- function(label,
                            Max = matrixStats::colMaxs
                          ),
                          pre_output = NULL,
-                         post_output = NULL) {
+                         post_output = NULL,
+                         .test = FALSE) {
   message("Initializing tm_g_barplot")
   assert_string(label)
   assert_string(mae_name)
@@ -42,6 +43,7 @@ tm_g_barplot <- function(label,
   assert_summary_funs(summary_funs)
   assert_tag(pre_output, null.ok = TRUE)
   assert_tag(post_output, null.ok = TRUE)
+  assert_flag(.test)
 
   module(
     label = label,
@@ -49,14 +51,16 @@ tm_g_barplot <- function(label,
     server_args = list(
       mae_name = mae_name,
       exclude_assays = exclude_assays,
-      summary_funs = summary_funs
+      summary_funs = summary_funs,
+      .test = .test
     ),
     ui = ui_g_barplot,
     ui_args = list(
       mae_name = mae_name,
       summary_funs = summary_funs,
       pre_output = pre_output,
-      post_output = post_output
+      post_output = post_output,
+      .test = .test
     ),
     datanames = mae_name
   )
@@ -69,7 +73,8 @@ ui_g_barplot <- function(id,
                          mae_name,
                          summary_funs,
                          pre_output,
-                         post_output) {
+                         post_output,
+                         .test = FALSE) {
   ns <- NS(id)
   teal.widgets::standard_layout(
     encoding = tags$div(
@@ -101,7 +106,10 @@ ui_g_barplot <- function(id,
         )
       )
     ),
-    output = teal.widgets::plot_with_settings_ui(ns("plot")),
+    output = div(
+      if (.test) verbatimTextOutput(ns("table")) else NULL,
+      teal.widgets::plot_with_settings_ui(ns("plot"))
+    ),
     pre_output = pre_output,
     post_output = post_output
   )
@@ -116,11 +124,13 @@ srv_g_barplot <- function(id,
                           reporter,
                           mae_name,
                           exclude_assays,
-                          summary_funs) {
+                          summary_funs,
+                          .test = FALSE) {
   with_reporter <- !missing(reporter) && inherits(reporter, "Reporter")
   assert_class(filter_panel_api, "FilterPanelAPI")
   checkmate::assert_class(data, "reactive")
   checkmate::assert_class(shiny::isolate(data()), "teal_data")
+  assert_flag(.test)
   moduleServer(id, function(input, output, session) {
     output$experiment_ui <- renderUI({
       experimentSpecInput(session$ns("experiment"), data, mae_name)
@@ -189,6 +199,13 @@ srv_g_barplot <- function(id,
       plot_r = plot_r
     )
 
+    if (.test) {
+      table_r <- reactive({
+        str(layer_data(plot_r()))
+      })
+      output$table <- renderPrint(table_r())
+    }
+
     ### REPORTER
     if (with_reporter) {
       card_fun <- function(comment, label) {
@@ -230,6 +247,7 @@ srv_g_barplot <- function(id,
           card$append_text("Comment", "header3")
           card$append_text(comment)
         }
+
         card
       }
       teal.reporter::simple_reporter_srv("simple_reporter", reporter = reporter, card_fun = card_fun)
@@ -246,14 +264,15 @@ srv_g_barplot <- function(id,
 #' if (interactive()) {
 #'   sample_tm_g_barplot()
 #' }
-sample_tm_g_barplot <- function() {
+sample_tm_g_barplot <- function(.test = FALSE) {
   data <- teal.data::teal_data(MAE = hermes::multi_assay_experiment)
   app <- teal::init(
     data = data,
     modules = teal::modules(
       tm_g_barplot(
         label = "barplot",
-        mae_name = "MAE"
+        mae_name = "MAE",
+        .test = .test
       )
     )
   )
diff --git a/R/boxplot.R b/R/boxplot.R
index 7eccbb6f..b275be4c 100644
--- a/R/boxplot.R
+++ b/R/boxplot.R
@@ -35,7 +35,8 @@ tm_g_boxplot <- function(label,
                            Max = matrixStats::colMaxs
                          ),
                          pre_output = NULL,
-                         post_output = NULL) {
+                         post_output = NULL,
+                         .test = FALSE) {
   message("Initializing tm_g_boxplot")
   assert_string(label)
   assert_string(mae_name)
@@ -43,6 +44,7 @@ tm_g_boxplot <- function(label,
   assert_summary_funs(summary_funs, null.ok = TRUE)
   assert_tag(pre_output, null.ok = TRUE)
   assert_tag(post_output, null.ok = TRUE)
+  assert_flag(.test)
 
   teal::module(
     label = label,
@@ -50,14 +52,16 @@ tm_g_boxplot <- function(label,
     server_args = list(
       mae_name = mae_name,
       summary_funs = summary_funs,
-      exclude_assays = exclude_assays
+      exclude_assays = exclude_assays,
+      .test = .test
     ),
     ui = ui_g_boxplot,
     ui_args = list(
       mae_name = mae_name,
       summary_funs = summary_funs,
       pre_output = pre_output,
-      post_output = post_output
+      post_output = post_output,
+      .test = .test
     ),
     datanames = mae_name
   )
@@ -70,7 +74,8 @@ ui_g_boxplot <- function(id,
                          mae_name,
                          summary_funs,
                          pre_output,
-                         post_output) {
+                         post_output,
+                         .test = FALSE) {
   ns <- NS(id)
   teal.widgets::standard_layout(
     encoding = tags$div(
@@ -97,7 +102,10 @@ ui_g_boxplot <- function(id,
         )
       )
     ),
-    output = teal.widgets::plot_with_settings_ui(ns("plot")),
+    output = div(
+      if (.test) verbatimTextOutput(ns("table")) else NULL,
+      teal.widgets::plot_with_settings_ui(ns("plot"))
+    ),
     pre_output = pre_output,
     post_output = post_output
   )
@@ -112,7 +120,8 @@ srv_g_boxplot <- function(id,
                           reporter,
                           mae_name,
                           exclude_assays,
-                          summary_funs) {
+                          summary_funs,
+                          .test = FALSE) {
   with_reporter <- !missing(reporter) && inherits(reporter, "Reporter")
   assert_class(filter_panel_api, "FilterPanelAPI")
   checkmate::assert_class(data, "reactive")
@@ -184,6 +193,13 @@ srv_g_boxplot <- function(id,
       plot_r = plot_r
     )
 
+    if (.test) {
+      table_r <- reactive({
+        str(layer_data(plot_r()))
+      })
+      output$table <- renderPrint(table_r())
+    }
+
     ### REPORTER
     if (with_reporter) {
       card_fun <- function(comment, label) {
@@ -247,14 +263,15 @@ srv_g_boxplot <- function(id,
 #' if (interactive()) {
 #'   sample_tm_g_boxplot()
 #' }
-sample_tm_g_boxplot <- function() {
+sample_tm_g_boxplot <- function(.test = FALSE) {
   data <- teal.data::teal_data(MAE = hermes::multi_assay_experiment)
   app <- teal::init(
     data = data,
     modules = teal::modules(
       tm_g_boxplot(
         label = "boxplot",
-        mae_name = "MAE"
+        mae_name = "MAE",
+        .test = .test
       )
     )
   )
diff --git a/R/forestplot.R b/R/forestplot.R
index 8374e4da..a76a86fc 100644
--- a/R/forestplot.R
+++ b/R/forestplot.R
@@ -53,7 +53,8 @@ tm_g_forest_tte <- function(label,
                             pre_output = NULL,
                             post_output = NULL,
                             plot_height = c(600L, 200L, 2000L),
-                            plot_width = c(1360L, 500L, 2000L)) {
+                            plot_width = c(1360L, 500L, 2000L),
+                            .test = FALSE) {
   message("Initializing tm_g_forest_tte")
   assert_string(label)
   assert_string(adtte_name)
@@ -63,6 +64,7 @@ tm_g_forest_tte <- function(label,
   assert_summary_funs(summary_funs)
   assert_tag(pre_output, null.ok = TRUE)
   assert_tag(post_output, null.ok = TRUE)
+  assert_flag(.test)
 
   teal::module(
     label = label,
@@ -74,7 +76,8 @@ tm_g_forest_tte <- function(label,
       exclude_assays = exclude_assays,
       summary_funs = summary_funs,
       plot_height = plot_height,
-      plot_width = plot_width
+      plot_width = plot_width,
+      .test = .test
     ),
     ui = ui_g_forest_tte,
     ui_args = list(
@@ -82,7 +85,8 @@ tm_g_forest_tte <- function(label,
       mae_name = mae_name,
       summary_funs = summary_funs,
       pre_output = pre_output,
-      post_output = post_output
+      post_output = post_output,
+      .test = .test
     ),
     datanames = c(adtte_name, mae_name)
   )
@@ -96,7 +100,8 @@ ui_g_forest_tte <- function(id,
                             mae_name,
                             summary_funs,
                             pre_output,
-                            post_output) {
+                            post_output,
+                            .test = FALSE) {
   ns <- NS(id)
   teal.widgets::standard_layout(
     encoding = tags$div(
@@ -120,7 +125,10 @@ ui_g_forest_tte <- function(id,
         )
       )
     ),
-    output = teal.widgets::plot_with_settings_ui(ns("plot")),
+    output = div(
+      if (.test) verbatimTextOutput(ns("table")) else NULL,
+      teal.widgets::plot_with_settings_ui(ns("plot"))
+    ),
     pre_output = pre_output,
     post_output = post_output
   )
@@ -139,7 +147,8 @@ srv_g_forest_tte <- function(id,
                              exclude_assays,
                              summary_funs,
                              plot_height,
-                             plot_width) {
+                             plot_width,
+                             .test = FALSE) {
   with_reporter <- !missing(reporter) && inherits(reporter, "Reporter")
   assert_class(filter_panel_api, "FilterPanelAPI")
   checkmate::assert_class(data, "reactive")
@@ -217,8 +226,8 @@ srv_g_forest_tte <- function(id,
     })
 
     forest_plot <- reactive({
-      result <- result()
-      tern::g_forest(result)
+      res <- result()
+      tern::g_forest(res)
     })
 
     pws <- teal.widgets::plot_with_settings_srv(
@@ -228,6 +237,13 @@ srv_g_forest_tte <- function(id,
       width = plot_width
     )
 
+    if (.test) {
+      table_r <- reactive({
+        rtables::as_result_df(result())
+      })
+      output$table <- renderPrint(table_r())
+    }
+
     ### REPORTER
     if (with_reporter) {
       card_fun <- function(comment, label) {
@@ -285,7 +301,7 @@ srv_g_forest_tte <- function(id,
 #' if (interactive()) {
 #'   sample_tm_g_forest_tte()
 #' }
-sample_tm_g_forest_tte <- function() { # nolint
+sample_tm_g_forest_tte <- function(.test = FALSE) { # nolint
   data <- teal_data()
   data <- within(data, {
     ADTTE <- teal.modules.hermes::rADTTE %>% # nolint
@@ -302,7 +318,8 @@ sample_tm_g_forest_tte <- function() { # nolint
       tm_g_forest_tte(
         label = "forest",
         adtte_name = "ADTTE",
-        mae_name = "MAE"
+        mae_name = "MAE",
+        .test = .test
       )
     )
   )
diff --git a/R/km.R b/R/km.R
index b2ff88f6..95662064 100644
--- a/R/km.R
+++ b/R/km.R
@@ -56,7 +56,8 @@ tm_g_km <- function(label,
                       Max = matrixStats::colMaxs
                     ),
                     pre_output = NULL,
-                    post_output = NULL) {
+                    post_output = NULL,
+                    .test = FALSE) {
   message("Initializing tm_g_km")
   assert_string(label)
   assert_string(adtte_name)
@@ -75,7 +76,8 @@ tm_g_km <- function(label,
       mae_name = mae_name,
       adtte_vars = adtte_vars,
       exclude_assays = exclude_assays,
-      summary_funs = summary_funs
+      summary_funs = summary_funs,
+      .test = .test
     ),
     ui = ui_g_km,
     ui_args = list(
@@ -83,7 +85,8 @@ tm_g_km <- function(label,
       mae_name = mae_name,
       summary_funs = summary_funs,
       pre_output = pre_output,
-      post_output = post_output
+      post_output = post_output,
+      .test = .test
     ),
     datanames = c(adtte_name, mae_name)
   )
@@ -97,7 +100,8 @@ ui_g_km <- function(id,
                     mae_name,
                     summary_funs,
                     pre_output,
-                    post_output) {
+                    post_output,
+                    .test = FALSE) {
   ns <- NS(id)
   teal.widgets::standard_layout(
     encoding = tags$div(
@@ -127,7 +131,10 @@ ui_g_km <- function(id,
         )
       )
     ),
-    output = teal.widgets::plot_with_settings_ui(ns("plot")),
+    output = div(
+      if (.test) verbatimTextOutput(ns("table")) else NULL,
+      teal.widgets::plot_with_settings_ui(ns("plot"))
+    ),
     pre_output = pre_output,
     post_output = post_output
   )
@@ -144,7 +151,8 @@ srv_g_km <- function(id,
                      mae_name,
                      adtte_vars,
                      summary_funs,
-                     exclude_assays) {
+                     exclude_assays,
+                     .test = FALSE) {
   with_reporter <- !missing(reporter) && inherits(reporter, "Reporter")
   assert_class(filter_panel_api, "FilterPanelAPI")
   checkmate::assert_class(data, "reactive")
@@ -199,7 +207,7 @@ srv_g_km <- function(id,
       probs = percentiles_without_borders
     )
 
-    km_plot <- reactive({
+    km_data <- reactive({
       strata_var <- strata$sample_var()
       binned_adtte <- adtte$binned_adtte_subset()
 
@@ -209,6 +217,15 @@ srv_g_km <- function(id,
         arm = adtte$gene_factor,
         strat = strata_var
       )
+
+      list(binned_adtte = binned_adtte, variables = variables)
+    })
+
+    km_plot <- reactive({
+      km_data <- km_data()
+
+      binned_adtte <- km_data$binned_adtte
+      variables <- km_data$variables
       tern::g_km(binned_adtte, variables = variables, annot_coxph = TRUE)
     })
 
@@ -219,6 +236,10 @@ srv_g_km <- function(id,
       plot_r = km_plot
     )
 
+    if (.test) {
+      output$table <- renderPrint(km_data())
+    }
+
     ### REPORTER
     if (with_reporter) {
       card_fun <- function(comment, label) {
@@ -276,7 +297,7 @@ srv_g_km <- function(id,
 #' if (interactive()) {
 #'   sample_tm_g_km()
 #' }
-sample_tm_g_km <- function() { # nolint
+sample_tm_g_km <- function(.test = FALSE) { # nolint
   data <- teal_data()
   data <- within(data, {
     ADTTE <- teal.modules.hermes::rADTTE %>% # nolint
@@ -291,7 +312,8 @@ sample_tm_g_km <- function() { # nolint
     tm_g_km(
       label = "kaplan-meier",
       adtte_name = "ADTTE",
-      mae_name = "MAE"
+      mae_name = "MAE",
+      .test = .test
     )
   )
 
diff --git a/R/pca.R b/R/pca.R
index a873a29e..8e465411 100644
--- a/R/pca.R
+++ b/R/pca.R
@@ -29,7 +29,8 @@ tm_g_pca <- function(label,
                      mae_name,
                      exclude_assays = character(),
                      pre_output = NULL,
-                     post_output = NULL) {
+                     post_output = NULL,
+                     .test = FALSE) {
   message("Initializing tm_g_pca")
   assert_string(label)
   assert_string(mae_name)
@@ -41,13 +42,15 @@ tm_g_pca <- function(label,
     server = srv_g_pca,
     server_args = list(
       mae_name = mae_name,
-      exclude_assays = exclude_assays
+      exclude_assays = exclude_assays,
+      .test = .test
     ),
     ui = ui_g_pca,
     ui_args = list(
       mae_name = mae_name,
       pre_output = pre_output,
-      post_output = post_output
+      post_output = post_output,
+      .test = .test
     ),
     datanames = mae_name
   )
@@ -59,7 +62,8 @@ tm_g_pca <- function(label,
 ui_g_pca <- function(id,
                      mae_name,
                      pre_output,
-                     post_output) {
+                     post_output,
+                     .test = FALSE) {
   ns <- NS(id)
 
   tagList(
@@ -120,7 +124,8 @@ ui_g_pca <- function(id,
             "PCA",
             column(
               width = 12,
-              tags$div(
+              if (.test) verbatimTextOutput(ns("test_pca")) else NULL,
+              div(
                 class = "my-5",
                 teal.widgets::plot_with_settings_ui(ns("plot_pca"))
               ),
@@ -131,7 +136,8 @@ ui_g_pca <- function(id,
             "PC and Sample Correlation",
             column(
               width = 12,
-              tags$div(
+              if (.test) verbatimTextOutput(ns("test_cor")) else NULL,
+              div(
                 class = "my-5",
                 teal.widgets::plot_with_settings_ui(ns("plot_cor"))
               ),
@@ -154,7 +160,8 @@ srv_g_pca <- function(id,
                       filter_panel_api,
                       reporter,
                       mae_name,
-                      exclude_assays) {
+                      exclude_assays,
+                      .test = FALSE) {
   with_reporter <- !missing(reporter) && inherits(reporter, "Reporter")
   assert_class(filter_panel_api, "FilterPanelAPI")
   checkmate::assert_class(data, "reactive")
@@ -354,6 +361,11 @@ srv_g_pca <- function(id,
       plot_r = plot_cor
     )
 
+    if (.test) {
+      output$test_pca <- renderPrint(layer_data(plot_pca()))
+      output$test_cor <- renderPrint(show_matrix_cor())
+    }
+
     ### REPORTER
     if (with_reporter) {
       card_fun <- function(comment, label) {
@@ -449,14 +461,15 @@ srv_g_pca <- function(id,
 #' if (interactive()) {
 #'   sample_tm_g_pca()
 #' }
-sample_tm_g_pca <- function() {
+sample_tm_g_pca <- function(.test = FALSE) {
   data <- teal.data::teal_data(MAE = hermes::multi_assay_experiment)
   app <- teal::init(
     data = data,
     modules = teal::modules(
       tm_g_pca(
         label = "pca",
-        mae_name = "MAE"
+        mae_name = "MAE",
+        .test = .test
       )
     )
   )
diff --git a/R/quality.R b/R/quality.R
index 8c5dc805..41be5d3f 100644
--- a/R/quality.R
+++ b/R/quality.R
@@ -83,7 +83,8 @@ tm_g_quality <- function(label,
                          mae_name,
                          exclude_assays = character(),
                          pre_output = NULL,
-                         post_output = NULL) {
+                         post_output = NULL,
+                         .test = FALSE) {
   assert_string(label)
   assert_string(mae_name)
   assert_character(exclude_assays, any.missing = FALSE)
@@ -95,13 +96,15 @@ tm_g_quality <- function(label,
     server = srv_g_quality,
     server_args = list(
       mae_name = mae_name,
-      exclude_assays = exclude_assays
+      exclude_assays = exclude_assays,
+      .test = .test
     ),
     ui = ui_g_quality,
     ui_args = list(
       mae_name = mae_name,
       pre_output = pre_output,
-      post_output = post_output
+      post_output = post_output,
+      .test = .test
     ),
     datanames = mae_name
   )
@@ -113,7 +116,8 @@ tm_g_quality <- function(label,
 ui_g_quality <- function(id,
                          mae_name,
                          pre_output,
-                         post_output) {
+                         post_output,
+                         .test = FALSE) {
   ns <- NS(id)
   teal.widgets::standard_layout(
     encoding = tags$div(
@@ -182,7 +186,10 @@ ui_g_quality <- function(id,
         )
       )
     ),
-    output = teal.widgets::plot_with_settings_ui(ns("plot")),
+    output = div(
+      if (.test) verbatimTextOutput(ns("table")) else NULL,
+      teal.widgets::plot_with_settings_ui(ns("plot"))
+    ),
     pre_output = pre_output,
     post_output = post_output
   )
@@ -196,7 +203,8 @@ srv_g_quality <- function(id,
                           filter_panel_api,
                           reporter,
                           mae_name,
-                          exclude_assays) {
+                          exclude_assays,
+                          .test = FALSE) {
   with_reporter <- !missing(reporter) && inherits(reporter, "Reporter")
   assert_class(filter_panel_api, "FilterPanelAPI")
   checkmate::assert_class(data, "reactive")
@@ -352,6 +360,18 @@ srv_g_quality <- function(id,
       plot_r = plot_r
     )
 
+    if (.test) {
+      table <- reactive({
+        plot_type <- input$plot_type
+        if (plot_type == "Correlation Heatmap") {
+          object_final()
+        } else {
+          layer_data(plot_r())
+        }
+      })
+      output$table <- renderPrint(table())
+    }
+
     ### REPORTER
     if (with_reporter) {
       card_fun <- function(comment, label) {
@@ -418,14 +438,15 @@ srv_g_quality <- function(id,
 #' if (interactive()) {
 #'   sample_tm_g_quality()
 #' }
-sample_tm_g_quality <- function() {
+sample_tm_g_quality <- function(.test = FALSE) {
   data <- teal.data::teal_data(MAE = hermes::multi_assay_experiment)
   app <- teal::init(
     data = data,
     modules = teal::modules(
       tm_g_quality(
         label = "quality",
-        mae_name = "MAE"
+        mae_name = "MAE",
+        .test = .test
       )
     )
   )
diff --git a/R/scatterplot.R b/R/scatterplot.R
index 6a09a89e..a4c16951 100644
--- a/R/scatterplot.R
+++ b/R/scatterplot.R
@@ -34,7 +34,8 @@ tm_g_scatterplot <- function(label,
                                Max = matrixStats::colMaxs
                              ),
                              pre_output = NULL,
-                             post_output = NULL) {
+                             post_output = NULL,
+                             .test = FALSE) {
   message("Initializing tm_g_scatterplot")
   assert_string(label)
   assert_string(mae_name)
@@ -49,14 +50,16 @@ tm_g_scatterplot <- function(label,
     server_args = list(
       mae_name = mae_name,
       summary_funs = summary_funs,
-      exclude_assays = exclude_assays
+      exclude_assays = exclude_assays,
+      .test = .test
     ),
     ui = ui_g_scatterplot,
     ui_args = list(
       mae_name = mae_name,
       summary_funs = summary_funs,
       pre_output = pre_output,
-      post_output = post_output
+      post_output = post_output,
+      .test = .test
     ),
     datanames = mae_name
   )
@@ -69,7 +72,8 @@ ui_g_scatterplot <- function(id,
                              mae_name,
                              summary_funs,
                              pre_output,
-                             post_output) {
+                             post_output,
+                             .test = FALSE) {
   ns <- NS(id)
 
   smooth_method_choices <- c(
@@ -100,7 +104,10 @@ ui_g_scatterplot <- function(id,
         )
       )
     ),
-    output = teal.widgets::plot_with_settings_ui(ns("plot")),
+    output = div(
+      if (.test) verbatimTextOutput(ns("table")) else NULL,
+      teal.widgets::plot_with_settings_ui(ns("plot"))
+    ),
     pre_output = pre_output,
     post_output = post_output
   )
@@ -115,7 +122,8 @@ srv_g_scatterplot <- function(id,
                               reporter,
                               mae_name,
                               exclude_assays,
-                              summary_funs) {
+                              summary_funs,
+                              .test = FALSE) {
   with_reporter <- !missing(reporter) && inherits(reporter, "Reporter")
   assert_class(filter_panel_api, "FilterPanelAPI")
   checkmate::assert_class(data, "reactive")
@@ -184,6 +192,10 @@ srv_g_scatterplot <- function(id,
       plot_r = plot_r
     )
 
+    if (.test) {
+      output$table <- renderPrint(plot_r())
+    }
+
     ### REPORTER
     if (with_reporter) {
       card_fun <- function(comment, label) {
@@ -245,14 +257,15 @@ srv_g_scatterplot <- function(id,
 #' if (interactive()) {
 #'   sample_tm_g_scatterplot()
 #' }
-sample_tm_g_scatterplot <- function() {
+sample_tm_g_scatterplot <- function(.test = FALSE) {
   data <- teal.data::teal_data(MAE = hermes::multi_assay_experiment)
   app <- teal::init(
     data = data,
     modules = teal::modules(
       tm_g_scatterplot(
         label = "scatterplot",
-        mae_name = "MAE"
+        mae_name = "MAE",
+        .test = .test
       )
     )
   )
diff --git a/R/volcanoplot.R b/R/volcanoplot.R
index a15989ba..5a71ded7 100644
--- a/R/volcanoplot.R
+++ b/R/volcanoplot.R
@@ -29,7 +29,8 @@ tm_g_volcanoplot <- function(label,
                              mae_name,
                              exclude_assays = character(),
                              pre_output = NULL,
-                             post_output = NULL) {
+                             post_output = NULL,
+                             .test = FALSE) {
   message("Initializing tm_g_volcanoplot")
   assert_string(label)
   assert_string(mae_name)
@@ -42,13 +43,15 @@ tm_g_volcanoplot <- function(label,
     server = srv_g_volcanoplot,
     server_args = list(
       mae_name = mae_name,
-      exclude_assays = exclude_assays
+      exclude_assays = exclude_assays,
+      .test = .test
     ),
     ui = ui_g_volcanoplot,
     ui_args = list(
       mae_name = mae_name,
       pre_output = pre_output,
-      post_output = post_output
+      post_output = post_output,
+      .test = .test
     ),
     datanames = mae_name
   )
@@ -60,11 +63,13 @@ tm_g_volcanoplot <- function(label,
 ui_g_volcanoplot <- function(id,
                              mae_name,
                              pre_output,
-                             post_output) {
+                             post_output,
+                             .test = FALSE) {
   ns <- NS(id)
 
   teal.widgets::standard_layout(
-    output = tags$div(
+    output = div(
+      if (.test) verbatimTextOutput(ns("test")) else NULL,
       teal.widgets::plot_with_settings_ui(ns("plot")),
       DT::DTOutput(ns("table"))
     ),
@@ -103,7 +108,8 @@ srv_g_volcanoplot <- function(id,
                               filter_panel_api,
                               reporter,
                               mae_name,
-                              exclude_assays) {
+                              exclude_assays,
+                              .test = FALSE) {
   with_reporter <- !missing(reporter) && inherits(reporter, "Reporter")
   assert_class(filter_panel_api, "FilterPanelAPI")
   checkmate::assert_class(data, "reactive")
@@ -205,6 +211,11 @@ srv_g_volcanoplot <- function(id,
       )
     })
 
+    if (.test) {
+      output$test <- renderPrint(layer_data(plot_r()))
+    }
+
+
     ### REPORTER
     if (with_reporter) {
       card_fun <- function(comment, label) {
@@ -266,14 +277,15 @@ srv_g_volcanoplot <- function(id,
 #' if (interactive()) {
 #'   sample_tm_g_volcanoplot()
 #' }
-sample_tm_g_volcanoplot <- function() {
+sample_tm_g_volcanoplot <- function(.test = FALSE) {
   data <- teal.data::teal_data(MAE = hermes::multi_assay_experiment)
   app <- teal::init(
     data = data,
     modules = teal::modules(
       tm_g_volcanoplot(
         label = "volcanoplot",
-        mae_name = "MAE"
+        mae_name = "MAE",
+        .test = .test
       )
     )
   )
diff --git a/man/module_arguments.Rd b/man/module_arguments.Rd
index 465c1ed0..b0a8f65b 100644
--- a/man/module_arguments.Rd
+++ b/man/module_arguments.Rd
@@ -58,6 +58,8 @@ and maximum plot height.}
 and maximum plot width.}
 
 \item{filter_panel_api}{(\code{FilterPanelAPI})\cr object describing the actual filter panel API.}
+
+\item{.test}{(\code{flag})\cr whether to display the internal structure of the plot for testing purposes.}
 }
 \description{
 The documentation to this function lists all the conventional arguments in
diff --git a/man/tm_g_barplot.Rd b/man/tm_g_barplot.Rd
index eddfa0e0..d807fc42 100644
--- a/man/tm_g_barplot.Rd
+++ b/man/tm_g_barplot.Rd
@@ -14,10 +14,18 @@ tm_g_barplot(
   summary_funs = list(Mean = colMeans, Median = matrixStats::colMedians, Max =
     matrixStats::colMaxs),
   pre_output = NULL,
-  post_output = NULL
+  post_output = NULL,
+  .test = FALSE
 )
 
-ui_g_barplot(id, mae_name, summary_funs, pre_output, post_output)
+ui_g_barplot(
+  id,
+  mae_name,
+  summary_funs,
+  pre_output,
+  post_output,
+  .test = FALSE
+)
 
 srv_g_barplot(
   id,
@@ -26,10 +34,11 @@ srv_g_barplot(
   reporter,
   mae_name,
   exclude_assays,
-  summary_funs
+  summary_funs,
+  .test = FALSE
 )
 
-sample_tm_g_barplot()
+sample_tm_g_barplot(.test = FALSE)
 }
 \arguments{
 \item{label}{(\code{string})\cr
@@ -52,6 +61,8 @@ placed before the output to put the output into context (for example a title).}
 placed after the output to put the output into context (for example the \code{\link[shiny:helpText]{shiny::helpText()}}
 elements can be useful).}
 
+\item{.test}{(\code{flag})\cr whether to display the internal structure of the plot for testing purposes.}
+
 \item{id}{(\code{string}) the shiny module id.}
 
 \item{data}{(\code{reactive})\cr
diff --git a/man/tm_g_boxplot.Rd b/man/tm_g_boxplot.Rd
index a5a4dff0..026b5a3f 100644
--- a/man/tm_g_boxplot.Rd
+++ b/man/tm_g_boxplot.Rd
@@ -14,10 +14,18 @@ tm_g_boxplot(
   summary_funs = list(None = NULL, Mean = colMeans, Median = matrixStats::colMedians, Max
     = matrixStats::colMaxs),
   pre_output = NULL,
-  post_output = NULL
+  post_output = NULL,
+  .test = FALSE
 )
 
-ui_g_boxplot(id, mae_name, summary_funs, pre_output, post_output)
+ui_g_boxplot(
+  id,
+  mae_name,
+  summary_funs,
+  pre_output,
+  post_output,
+  .test = FALSE
+)
 
 srv_g_boxplot(
   id,
@@ -26,10 +34,11 @@ srv_g_boxplot(
   reporter,
   mae_name,
   exclude_assays,
-  summary_funs
+  summary_funs,
+  .test = FALSE
 )
 
-sample_tm_g_boxplot()
+sample_tm_g_boxplot(.test = FALSE)
 }
 \arguments{
 \item{label}{(\code{string})\cr
@@ -52,6 +61,8 @@ placed before the output to put the output into context (for example a title).}
 placed after the output to put the output into context (for example the \code{\link[shiny:helpText]{shiny::helpText()}}
 elements can be useful).}
 
+\item{.test}{(\code{flag})\cr whether to display the internal structure of the plot for testing purposes.}
+
 \item{id}{(\code{string}) the shiny module id.}
 
 \item{data}{(\code{reactive})\cr
diff --git a/man/tm_g_forest_tte.Rd b/man/tm_g_forest_tte.Rd
index f28a15a8..556368cf 100644
--- a/man/tm_g_forest_tte.Rd
+++ b/man/tm_g_forest_tte.Rd
@@ -19,7 +19,8 @@ tm_g_forest_tte(
   pre_output = NULL,
   post_output = NULL,
   plot_height = c(600L, 200L, 2000L),
-  plot_width = c(1360L, 500L, 2000L)
+  plot_width = c(1360L, 500L, 2000L),
+  .test = FALSE
 )
 
 ui_g_forest_tte(
@@ -28,7 +29,8 @@ ui_g_forest_tte(
   mae_name,
   summary_funs,
   pre_output,
-  post_output
+  post_output,
+  .test = FALSE
 )
 
 srv_g_forest_tte(
@@ -42,10 +44,11 @@ srv_g_forest_tte(
   exclude_assays,
   summary_funs,
   plot_height,
-  plot_width
+  plot_width,
+  .test = FALSE
 )
 
-sample_tm_g_forest_tte()
+sample_tm_g_forest_tte(.test = FALSE)
 }
 \arguments{
 \item{label}{(\code{string})\cr
@@ -90,6 +93,8 @@ and maximum plot height.}
 \item{plot_width}{(\code{list})\cr list of integers to set the default, minimum,
 and maximum plot width.}
 
+\item{.test}{(\code{flag})\cr whether to display the internal structure of the plot for testing purposes.}
+
 \item{id}{(\code{string}) the shiny module id.}
 
 \item{data}{(\code{reactive})\cr
diff --git a/man/tm_g_km.Rd b/man/tm_g_km.Rd
index acd0392b..76f52305 100644
--- a/man/tm_g_km.Rd
+++ b/man/tm_g_km.Rd
@@ -17,10 +17,19 @@ tm_g_km(
   summary_funs = list(Mean = colMeans, Median = matrixStats::colMedians, Max =
     matrixStats::colMaxs),
   pre_output = NULL,
-  post_output = NULL
+  post_output = NULL,
+  .test = FALSE
 )
 
-ui_g_km(id, adtte_name, mae_name, summary_funs, pre_output, post_output)
+ui_g_km(
+  id,
+  adtte_name,
+  mae_name,
+  summary_funs,
+  pre_output,
+  post_output,
+  .test = FALSE
+)
 
 srv_g_km(
   id,
@@ -31,10 +40,11 @@ srv_g_km(
   mae_name,
   adtte_vars,
   summary_funs,
-  exclude_assays
+  exclude_assays,
+  .test = FALSE
 )
 
-sample_tm_g_km()
+sample_tm_g_km(.test = FALSE)
 }
 \arguments{
 \item{label}{(\code{string})\cr
@@ -73,6 +83,8 @@ placed before the output to put the output into context (for example a title).}
 placed after the output to put the output into context (for example the \code{\link[shiny:helpText]{shiny::helpText()}}
 elements can be useful).}
 
+\item{.test}{(\code{flag})\cr whether to display the internal structure of the plot for testing purposes.}
+
 \item{id}{(\code{string}) the shiny module id.}
 
 \item{data}{(\code{reactive})\cr
diff --git a/man/tm_g_pca.Rd b/man/tm_g_pca.Rd
index 7eae7ac1..01ed0ddc 100644
--- a/man/tm_g_pca.Rd
+++ b/man/tm_g_pca.Rd
@@ -12,14 +12,23 @@ tm_g_pca(
   mae_name,
   exclude_assays = character(),
   pre_output = NULL,
-  post_output = NULL
+  post_output = NULL,
+  .test = FALSE
 )
 
-ui_g_pca(id, mae_name, pre_output, post_output)
+ui_g_pca(id, mae_name, pre_output, post_output, .test = FALSE)
 
-srv_g_pca(id, data, filter_panel_api, reporter, mae_name, exclude_assays)
+srv_g_pca(
+  id,
+  data,
+  filter_panel_api,
+  reporter,
+  mae_name,
+  exclude_assays,
+  .test = FALSE
+)
 
-sample_tm_g_pca()
+sample_tm_g_pca(.test = FALSE)
 }
 \arguments{
 \item{label}{(\code{string})\cr
@@ -38,6 +47,8 @@ placed before the output to put the output into context (for example a title).}
 placed after the output to put the output into context (for example the \code{\link[shiny:helpText]{shiny::helpText()}}
 elements can be useful).}
 
+\item{.test}{(\code{flag})\cr whether to display the internal structure of the plot for testing purposes.}
+
 \item{id}{(\code{string}) the shiny module id.}
 
 \item{data}{(\code{reactive})\cr
diff --git a/man/tm_g_quality.Rd b/man/tm_g_quality.Rd
index 09851bd3..b42fe09f 100644
--- a/man/tm_g_quality.Rd
+++ b/man/tm_g_quality.Rd
@@ -12,14 +12,23 @@ tm_g_quality(
   mae_name,
   exclude_assays = character(),
   pre_output = NULL,
-  post_output = NULL
+  post_output = NULL,
+  .test = FALSE
 )
 
-ui_g_quality(id, mae_name, pre_output, post_output)
+ui_g_quality(id, mae_name, pre_output, post_output, .test = FALSE)
 
-srv_g_quality(id, data, filter_panel_api, reporter, mae_name, exclude_assays)
+srv_g_quality(
+  id,
+  data,
+  filter_panel_api,
+  reporter,
+  mae_name,
+  exclude_assays,
+  .test = FALSE
+)
 
-sample_tm_g_quality()
+sample_tm_g_quality(.test = FALSE)
 }
 \arguments{
 \item{label}{(\code{string})\cr
@@ -38,6 +47,8 @@ placed before the output to put the output into context (for example a title).}
 placed after the output to put the output into context (for example the \code{\link[shiny:helpText]{shiny::helpText()}}
 elements can be useful).}
 
+\item{.test}{(\code{flag})\cr whether to display the internal structure of the plot for testing purposes.}
+
 \item{id}{(\code{string}) the shiny module id.}
 
 \item{data}{(\code{reactive})\cr
diff --git a/man/tm_g_scatterplot.Rd b/man/tm_g_scatterplot.Rd
index f49e3db2..f6cb038a 100644
--- a/man/tm_g_scatterplot.Rd
+++ b/man/tm_g_scatterplot.Rd
@@ -14,10 +14,18 @@ tm_g_scatterplot(
   summary_funs = list(Mean = colMeans, Median = matrixStats::colMedians, Max =
     matrixStats::colMaxs),
   pre_output = NULL,
-  post_output = NULL
+  post_output = NULL,
+  .test = FALSE
 )
 
-ui_g_scatterplot(id, mae_name, summary_funs, pre_output, post_output)
+ui_g_scatterplot(
+  id,
+  mae_name,
+  summary_funs,
+  pre_output,
+  post_output,
+  .test = FALSE
+)
 
 srv_g_scatterplot(
   id,
@@ -26,10 +34,11 @@ srv_g_scatterplot(
   reporter,
   mae_name,
   exclude_assays,
-  summary_funs
+  summary_funs,
+  .test = FALSE
 )
 
-sample_tm_g_scatterplot()
+sample_tm_g_scatterplot(.test = FALSE)
 }
 \arguments{
 \item{label}{(\code{string})\cr
@@ -52,6 +61,8 @@ placed before the output to put the output into context (for example a title).}
 placed after the output to put the output into context (for example the \code{\link[shiny:helpText]{shiny::helpText()}}
 elements can be useful).}
 
+\item{.test}{(\code{flag})\cr whether to display the internal structure of the plot for testing purposes.}
+
 \item{id}{(\code{string}) the shiny module id.}
 
 \item{data}{(\code{reactive})\cr
diff --git a/man/tm_g_volcanoplot.Rd b/man/tm_g_volcanoplot.Rd
index 295180aa..340b8863 100644
--- a/man/tm_g_volcanoplot.Rd
+++ b/man/tm_g_volcanoplot.Rd
@@ -12,10 +12,11 @@ tm_g_volcanoplot(
   mae_name,
   exclude_assays = character(),
   pre_output = NULL,
-  post_output = NULL
+  post_output = NULL,
+  .test = FALSE
 )
 
-ui_g_volcanoplot(id, mae_name, pre_output, post_output)
+ui_g_volcanoplot(id, mae_name, pre_output, post_output, .test = FALSE)
 
 srv_g_volcanoplot(
   id,
@@ -23,10 +24,11 @@ srv_g_volcanoplot(
   filter_panel_api,
   reporter,
   mae_name,
-  exclude_assays
+  exclude_assays,
+  .test = FALSE
 )
 
-sample_tm_g_volcanoplot()
+sample_tm_g_volcanoplot(.test = FALSE)
 }
 \arguments{
 \item{label}{(\code{string})\cr
@@ -45,6 +47,8 @@ placed before the output to put the output into context (for example a title).}
 placed after the output to put the output into context (for example the \code{\link[shiny:helpText]{shiny::helpText()}}
 elements can be useful).}
 
+\item{.test}{(\code{flag})\cr whether to display the internal structure of the plot for testing purposes.}
+
 \item{id}{(\code{string}) the shiny module id.}
 
 \item{data}{(\code{reactive})\cr
diff --git a/tests/testthat/_snaps/barplot.md b/tests/testthat/_snaps/barplot.md
new file mode 100644
index 00000000..1340fd5c
--- /dev/null
+++ b/tests/testthat/_snaps/barplot.md
@@ -0,0 +1,23 @@
+# barplot module works as expected in the test app
+
+    Code
+      cat(res)
+    Output
+      'data.frame':	3 obs. of  16 variables:
+       $ y          : num  1 3 1
+       $ count      : num  1 3 1
+       $ prop       : num  1 1 1
+       $ x          : 'mapped_discrete' num  1 2 3
+       $ flipped_aes: logi  FALSE FALSE FALSE
+       $ PANEL      : Factor w/ 2 levels "1","2": 1 1 2
+       $ group      : int  1 2 3
+       $ ymin       : num  0 0 0
+       $ ymax       : num  1 3 1
+       $ xmin       : 'mapped_discrete' num  0.55 1.55 2.55
+       $ xmax       : 'mapped_discrete' num  1.45 2.45 3.45
+       $ colour     : logi  NA NA NA
+       $ fill       : chr  "grey35" "grey35" "grey35"
+       $ linewidth  : num  0.5 0.5 0.5
+       $ linetype   : num  1 1 1
+       $ alpha      : logi  NA NA NA
+
diff --git a/tests/testthat/_snaps/boxplot.md b/tests/testthat/_snaps/boxplot.md
new file mode 100644
index 00000000..ab184a4f
--- /dev/null
+++ b/tests/testthat/_snaps/boxplot.md
@@ -0,0 +1,28 @@
+# boxplot module works as expected in the test app
+
+    Code
+      cat(res)
+    Output
+      'data.frame':	512 obs. of  21 variables:
+       $ fill       : chr  "#F8766D" "#F8766D" "#F8766D" "#F8766D" ...
+       $ x          : 'mapped_discrete' num  1 1 1 1 1 1 1 1 1 1 ...
+       $ density    : num  0.000161 0.000161 0.000161 0.00016 0.00016 ...
+       $ scaled     : num  0.492 0.492 0.492 0.492 0.492 ...
+       $ ndensity   : num  0.492 0.492 0.492 0.492 0.492 ...
+       $ count      : num  0.000642 0.000642 0.000642 0.000642 0.000641 ...
+       $ n          : int  4 4 4 4 4 4 4 4 4 4 ...
+       $ y          : num  650 659 667 676 684 ...
+       $ PANEL      : Factor w/ 1 level "1": 1 1 1 1 1 1 1 1 1 1 ...
+       $ group      : int  1 1 1 1 1 1 1 1 1 1 ...
+       $ violinwidth: num  0.492 0.492 0.492 0.492 0.492 ...
+       $ flipped_aes: logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
+       $ width      : num  0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 ...
+       $ xmin       : 'mapped_discrete' num  0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55 ...
+       $ xmax       : 'mapped_discrete' num  1.45 1.45 1.45 1.45 1.45 1.45 1.45 1.45 1.45 1.45 ...
+       $ ymax       : num  650 659 667 676 684 ...
+       $ weight     : num  1 1 1 1 1 1 1 1 1 1 ...
+       $ colour     : chr  "grey20" "grey20" "grey20" "grey20" ...
+       $ linewidth  : num  0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ...
+       $ alpha      : logi  NA NA NA NA NA NA ...
+       $ linetype   : chr  "solid" "solid" "solid" "solid" ...
+
diff --git a/tests/testthat/_snaps/forest.md b/tests/testthat/_snaps/forest.md
new file mode 100644
index 00000000..48d05924
--- /dev/null
+++ b/tests/testthat/_snaps/forest.md
@@ -0,0 +1,12 @@
+# forest_tte module works as expected in the test app
+
+    Code
+      cat(res)
+    Output
+        spl_var_1 spl_value_1 avar_name     row_name   label_name row_num
+      1  row_type     content      <NA> All Patients All Patients       1
+        is_group_summary node_class V1 V2 V3           V4 V5 V6           V7
+      1             TRUE ContentRow  6  5  3 420.3845....  4  3 248.5370....
+                  V8           V9
+      1 5.693846.... 0.587431....
+
diff --git a/tests/testthat/_snaps/km.md b/tests/testthat/_snaps/km.md
new file mode 100644
index 00000000..32ea74b0
--- /dev/null
+++ b/tests/testthat/_snaps/km.md
@@ -0,0 +1,260 @@
+# km module works as expected in the test app
+
+    Code
+      cat(res)
+    Output
+      $binned_adtte
+                       USUBJID low_depth_flag tech_failure_flag Filename
+      3   AB12345-CHN-1-id-307          FALSE             FALSE     eset
+      9  AB12345-CHN-15-id-201          FALSE             FALSE     eset
+      11   AB12345-CHN-4-id-73          FALSE             FALSE     eset
+      18   AB12345-CHN-7-id-28          FALSE             FALSE     eset
+      24 AB12345-NGA-11-id-173           TRUE             FALSE     eset
+      30 AB12345-PAK-11-id-268          FALSE             FALSE     eset
+      34   AB12345-RUS-1-id-52          FALSE             FALSE     eset
+      39  AB12345-USA-1-id-261          FALSE             FALSE     eset
+      41   AB12345-USA-1-id-45          FALSE             FALSE     eset
+                 AGEGRP AGE18                STDDRS
+      3  12 - <18 years  < 18                 DEATH
+      9     >= 18 years >= 18                 DEATH
+      11  6 - <12 years  < 18                 DEATH
+      18 12 - <18 years  < 18                      
+      24  6 - <12 years  < 18                 DEATH
+      30    >= 18 years >= 18 WITHDRAWAL BY SUBJECT
+      34  6 - <12 years  < 18                 DEATH
+      39 12 - <18 years  < 18                      
+      41    >= 18 years >= 18                 DEATH
+                                     STDDRSD    STDSSDT                TRTDRS
+      3  DEATH DUE TO PROGRESSION OF DISEASE 07/24/2016   PROGRESSIVE DISEASE
+      9  DEATH DUE TO PROGRESSION OF DISEASE 08/12/2016   PROGRESSIVE DISEASE
+      11 DEATH DUE TO PROGRESSION OF DISEASE 04/19/2016   PROGRESSIVE DISEASE
+      18                                                  PROGRESSIVE DISEASE
+      24 DEATH DUE TO PROGRESSION OF DISEASE 09/11/2016   PROGRESSIVE DISEASE
+      30               WITHDRAWAL BY SUBJECT 07/05/2016 WITHDRAWAL BY SUBJECT
+      34 DEATH DUE TO PROGRESSION OF DISEASE 10/23/2016   PROGRESSIVE DISEASE
+      39                                                  PROGRESSIVE DISEASE
+      41 DEATH DUE TO PROGRESSION OF DISEASE 01/08/2016   PROGRESSIVE DISEASE
+                        TRTDRSD BHDCIRC BHDCIRCU ADAFL BLANP BKPS BLKS BTANNER
+      3  PROGRESSION OF DISEASE      NA              Y    NA   80   80      NA
+      9  PROGRESSION OF DISEASE      NA              Y    NA   90   90      NA
+      11 PROGRESSION OF DISEASE      NA              Y    70   NA   70      NA
+      18 PROGRESSION OF DISEASE      NA              Y    NA   90   90      NA
+      24 PROGRESSION OF DISEASE      NA              Y    NA  100  100      NA
+      30  WITHDRAWAL BY SUBJECT      NA              Y    70   NA   70      NA
+      34 PROGRESSION OF DISEASE      NA              Y   100   NA  100      NA
+      39 PROGRESSION OF DISEASE      NA              Y    NA   90   90      NA
+      41 PROGRESSION OF DISEASE      NA              Y    NA   90   90      NA
+                  FRPST   DURIDX    DURSAF     DURSUR LNTHRPY AENCIFL STUDYID
+      3  POST-MENARCHAL 61.66735 1.6755647  5.1581109       5      NA AB12345
+      9                 10.84189 0.9856263  3.0554415       4      NA AB12345
+      11                45.66735 1.6755647  3.1540041      10      NA AB12345
+      18 POST-MENARCHAL 19.54825 1.7412731  9.6919918       4      NA AB12345
+      24                99.28542 3.5811088  6.3408624       7      NA AB12345
+      30                16.09856 0.9856263  0.6899384       2      NA AB12345
+      34  PRE-MENARCHAL       NA 1.6755647 10.9404517       3      NA AB12345
+      39                41.62628 1.6755647 18.8583162       3      NA AB12345
+      41                45.73306 0.6570842  2.2997947       2      NA AB12345
+                  RFSTDTC          RFENDTC         RFXSTDTC         RFXENDTC
+      3  2016-03-10T14:05 2016-03-31T15:49 2016-03-10T14:05 2016-03-31T15:49
+      9  2016-05-31T14:10 2016-05-31T14:10 2016-05-31T14:10 2016-05-31T14:10
+      11 2016-01-25T14:15 2016-02-15T10:40 2016-01-25T14:15 2016-02-15T10:40
+      18 2016-12-06T13:09 2016-12-29T15:46 2016-12-06T13:09 2016-12-29T15:46
+      24 2016-03-21T15:40 2016-06-08T18:00 2016-03-21T15:40 2016-06-08T18:00
+      30 2016-06-15T12:45 2016-06-15T12:45 2016-06-15T12:45 2016-06-15T12:45
+      34 2015-12-01T12:25 2015-12-22T14:10 2015-12-01T12:25 2015-12-22T14:10
+      39 2016-02-08T12:37 2016-02-29T14:15 2016-02-08T12:37 2016-02-29T14:15
+      41 2015-11-05T11:00 2015-11-05T11:00 2015-11-05T11:00 2015-11-05T11:00
+            RFICDTC   RFPENDTC     DTHDTC DTHFL SITEID  INVID AGE  AGEU SEX
+      3  2016-02-18 2016-07-24 2016-07-24     Y 283495 223804  12 YEARS   F
+      9  2016-05-11 2016-08-12 2016-08-12     Y 282087 468105  27 YEARS   F
+      11 2016-01-14 2016-04-19 2016-04-19     Y 280959  20842  10 YEARS   F
+      18 2016-11-28                             282703 301818  17 YEARS   M
+      24 2016-03-02 2016-09-11 2016-09-11     Y 283497 241874   7 YEARS   F
+      30 2016-06-14 2016-07-05                  283662 244110  19 YEARS   F
+      34 2015-11-25 2016-10-23 2016-10-23     Y 283971 235545  11 YEARS   F
+      39 2016-02-01                             281049 457179  16 YEARS   F
+      41 2015-10-30 2016-01-08 2016-01-08     Y 283971 235545  19 YEARS   F
+                              RACE                 ETHNIC ARMCD       ARM ACTARMCD
+      3                      WHITE NOT HISPANIC OR LATINO  COH3  COHORT 3     COH3
+      9                    UNKNOWN           NOT REPORTED COH9E COHORT 9E    COH9E
+      11                   UNKNOWN           NOT REPORTED  COH3  COHORT 3     COH3
+      18                   UNKNOWN           NOT REPORTED  COH2  COHORT 2     COH2
+      24 BLACK OR AFRICAN AMERICAN     HISPANIC OR LATINO  COH6  COHORT 6     COH6
+      30                     ASIAN     HISPANIC OR LATINO  COH6  COHORT 6     COH6
+      34                     WHITE NOT HISPANIC OR LATINO COH7A COHORT 7A    COH7A
+      39                     ASIAN NOT HISPANIC OR LATINO  COH1  COHORT 1     COH1
+      41                   UNKNOWN     HISPANIC OR LATINO  COH6  COHORT 6     COH6
+           ACTARM COUNTRY      DMDTC DMDY BAGE BAGEU   BWT BWTU BHT BHTU     BBMI
+      3  COHORT 3     CHN 2016-02-18  -21   12 YEARS  50.0   kg 157   cm 20.28480
+      9  COHORT 9     CHN 2016-05-25   -6   27 YEARS  61.6   kg 173   cm 20.58204
+      11 COHORT 3     CHN 2016-01-14  -11   10 YEARS  29.4   kg 148   cm 13.42221
+      18 COHORT 2     CHN 2016-11-28   -8   17 YEARS  38.2   kg 151   cm 16.75365
+      24 COHORT 6     NGA 2016-03-02  -19    7 YEARS  53.9   kg 176   cm 17.40057
+      30 COHORT 6     PAK 2016-06-14   -1   19 YEARS  51.0   kg 152   cm 22.07410
+      34 COHORT 7     RUS 2015-11-25   -6   11 YEARS  36.2   kg 130   cm 21.42012
+      39 COHORT 1     USA 2016-02-01   -7   16 YEARS 104.7   kg 172   cm 35.39075
+      41 COHORT 6     USA 2015-10-30   -6   19 YEARS  57.0   kg 172   cm 19.26717
+         ITTFL SAFFL    INFCODT     RANDDT          TRTSDTC             TRTSDTM
+      3      Y     Y 2016-02-18 2016-03-09 2016-03-10T14:05 2016-03-10 14:05:00
+      9      Y     Y 2016-05-11 2016-05-31 2016-05-31T14:10 2016-05-31 14:10:00
+      11     Y     Y 2016-01-14 2016-01-22 2016-01-25T14:15 2016-01-25 14:15:00
+      18     Y     Y 2016-11-28 2016-12-02 2016-12-06T13:09 2016-12-06 13:09:00
+      24     Y     Y 2016-03-02 2016-03-21 2016-03-21T15:40 2016-03-21 15:40:00
+      30     Y     Y 2016-06-14 2016-06-15 2016-06-15T12:45 2016-06-15 12:45:00
+      34     Y     Y 2015-11-25 2015-12-01 2015-12-01T12:25 2015-12-01 12:25:00
+      39     Y     Y 2016-02-01 2016-02-03 2016-02-08T12:37 2016-02-08 12:37:00
+      41     Y     Y 2015-10-30 2015-11-05 2015-11-05T11:00 2015-11-05 11:00:00
+         TRTSTMF             TRTEDTM TRTETMF TRTDUR DISCSTUD DISCDEAT DISCAE DISTRTFL
+      3        S 2016-03-31 16:55:59       S     22        Y        Y      N        Y
+      9        S 2016-05-31 15:10:59       S      1        Y        Y      N        Y
+      11       S 2016-02-15 11:10:59       S     22        Y        Y      N        Y
+      18       S 2016-12-29 16:19:59       S     24        N        N      N        Y
+      24       S 2016-06-08 18:30:59       S     80        Y        Y      N        Y
+      30       S 2016-06-15 13:45:59       S      1        Y        N      N        Y
+      34       S 2015-12-22 14:40:59       S     22        Y        Y      N        Y
+      39       S 2016-02-29 14:48:59       S     22        N        N      N        Y
+      41       S 2015-11-05 12:00:59       S      1        Y        Y      N        Y
+         AEWITHFL     ALIVDT
+      3         N 2016-07-24
+      9         N 2016-08-12
+      11        N 2016-04-19
+      18        N 2017-09-19
+      24        N 2016-09-11
+      30        N 2016-07-05
+      34        N 2016-10-23
+      39        N 2017-08-28
+      41        N 2016-01-08
+                                                                COHORT
+      3                                       Cohort 3 (NEUROBLASTOMA)
+      9  Cohort 9 (OTHER TUMOR TYPES WITH DOCUMENTED PD-L1 EXPRESSION)
+      11                                      Cohort 3 (NEUROBLASTOMA)
+      18                                   Cohort 2 (HODGKIN LYMPHOMA)
+      24                                       Cohort 6 (OSTEOSARCOMA)
+      30                                       Cohort 6 (OSTEOSARCOMA)
+      34                                  Cohort 7 (RHABDOMYOSARCOMA )
+      39                                      Cohort 1 (EWING SARCOMA)
+      41                                       Cohort 6 (OSTEOSARCOMA)
+                                                                                              TTYPE
+      3                                                                               NEUROBLASTOMA
+      9  GERM CELL TUMOR - YOLK SAC TUMOR (ENDODERMAL SINUS TUMOR) WITH DOCUMENTED PD-L1 EXPRESSION
+      11                                                                              NEUROBLASTOMA
+      18                                                                           HODGKIN LYMPHOMA
+      24                                                                               OSTEOSARCOMA
+      30                                                                               OSTEOSARCOMA
+      34                                                                RHABDOMYOSARCOMA - ALVEOLAR
+      39                                                                              EWING SARCOMA
+      41                                                                               OSTEOSARCOMA
+         STDSSDY                SUBJID Mean.ABCF2..ABO.         INVNAM         TRT01P
+      3      137  AB12345-CHN-1-id-307         7.673103  Dr. CHN-1 Doe     B: Placebo
+      9       74 AB12345-CHN-15-id-201         7.433943 Dr. CHN-15 Doe C: Combination
+      11      86   AB12345-CHN-4-id-73         7.856089  Dr. CHN-4 Doe      A: Drug X
+      18      NA   AB12345-CHN-7-id-28         7.454552  Dr. CHN-7 Doe     B: Placebo
+      24     175 AB12345-NGA-11-id-173         7.702519 Dr. NGA-11 Doe C: Combination
+      30      21 AB12345-PAK-11-id-268         7.324474 Dr. PAK-11 Doe      A: Drug X
+      34     328   AB12345-RUS-1-id-52         7.410471  Dr. RUS-1 Doe      A: Drug X
+      39      NA  AB12345-USA-1-id-261         7.662349  Dr. USA-1 Doe     B: Placebo
+      41      65   AB12345-USA-1-id-45         7.780904  Dr. USA-1 Doe      A: Drug X
+                 TRT01A     TRT02P         TRT02A       REGION1 STRATA1 STRATA2
+      3      B: Placebo B: Placebo C: Combination          Asia       C      S1
+      9  C: Combination B: Placebo C: Combination          Asia       C      S2
+      11      A: Drug X B: Placebo C: Combination          Asia       A      S1
+      18     B: Placebo B: Placebo     B: Placebo          Asia       C      S2
+      24 C: Combination B: Placebo      A: Drug X        Africa       C      S2
+      30      A: Drug X B: Placebo      A: Drug X          Asia       C      S2
+      34      A: Drug X B: Placebo C: Combination       Eurasia       C      S2
+      39     B: Placebo B: Placebo     B: Placebo North America       C      S1
+      41      A: Drug X  A: Drug X      A: Drug X North America       C      S1
+             BMRKR1 BMRKR2 BMEASIFL BEP01FL           TRT01SDTM           TRT01EDTM
+      3   4.5749910    LOW        Y       N 2019-03-11 08:01:26 2021-02-18 02:48:40
+      9   6.9067988 MEDIUM        Y       N 2019-03-05 15:24:07 2021-02-18 22:06:48
+      11  2.8631240 MEDIUM        Y       Y 2019-03-17 14:18:17 2021-02-14 13:35:43
+      18 11.1444470 MEDIUM        N       N 2019-03-11 09:11:52 2021-03-10 21:11:52
+      24  4.9972257    LOW        Y       Y 2019-03-10 09:35:30 2021-03-09 21:35:30
+      30  2.8201408 MEDIUM        N       N 2019-03-21 23:53:53 2021-03-21 11:53:53
+      34  7.2063482   HIGH        N       N 2019-03-18 09:38:55 2021-02-13 06:30:28
+      39  2.8551642   HIGH        Y       N 2019-03-06 17:21:21 2021-03-06 05:21:21
+      41  0.4635604    LOW        N       N 2019-03-06 06:32:29 2021-03-05 18:32:29
+                   TRT02SDTM           TRT02EDTM            AP01SDTM
+      3  2021-02-18 02:48:40 2022-02-18 08:48:40 2019-03-11 08:01:26
+      9  2021-02-18 22:06:48 2022-02-19 04:06:48 2019-03-05 15:24:07
+      11 2021-02-14 13:35:43 2022-02-14 19:35:43 2019-03-17 14:18:17
+      18 2021-03-10 21:11:52 2022-03-11 03:11:52 2019-03-11 09:11:52
+      24 2021-03-09 21:35:30 2022-03-10 03:35:30 2019-03-10 09:35:30
+      30 2021-03-21 11:53:53 2022-03-21 17:53:53 2019-03-21 23:53:53
+      34 2021-02-13 06:30:28 2022-02-13 12:30:28 2019-03-18 09:38:55
+      39 2021-03-06 05:21:21 2022-03-06 11:21:21 2019-03-06 17:21:21
+      41 2021-03-05 18:32:29 2022-03-06 00:32:29 2019-03-06 06:32:29
+                    AP01EDTM            AP02SDTM            AP02EDTM       EOSSTT
+      3  2021-02-18 02:48:40 2021-02-18 02:48:40 2022-02-18 08:48:40 DISCONTINUED
+      9  2021-02-18 22:06:48 2021-02-18 22:06:48 2022-02-19 04:06:48 DISCONTINUED
+      11 2021-02-14 13:35:43 2021-02-14 13:35:43 2022-02-14 19:35:43 DISCONTINUED
+      18 2021-03-10 21:11:52 2021-03-10 21:11:52 2022-03-11 03:11:52    COMPLETED
+      24 2021-03-09 21:35:30 2021-03-09 21:35:30 2022-03-10 03:35:30    COMPLETED
+      30 2021-03-21 11:53:53 2021-03-21 11:53:53 2022-03-21 17:53:53    COMPLETED
+      34 2021-02-13 06:30:28 2021-02-13 06:30:28 2022-02-13 12:30:28 DISCONTINUED
+      39 2021-03-06 05:21:21 2021-03-06 05:21:21 2022-03-06 11:21:21    COMPLETED
+      41 2021-03-05 18:32:29 2021-03-05 18:32:29 2022-03-06 00:32:29    COMPLETED
+               EOTSTT      EOSDT EOSDY          DCSREAS      DTHDT
+      3  DISCONTINUED 2022-02-18  1076            DEATH 2022-04-06
+      9  DISCONTINUED 2022-02-19  1082            DEATH 2022-02-22
+      11 DISCONTINUED 2022-02-14  1066 LACK OF EFFICACY       <NA>
+      18    COMPLETED 2022-03-11  1096             <NA>       <NA>
+      24    COMPLETED 2022-03-10  1096             <NA>       <NA>
+      30    COMPLETED 2022-03-21  1096             <NA>       <NA>
+      34 DISCONTINUED 2022-02-13  1064            DEATH 2022-02-20
+      39    COMPLETED 2022-03-06  1096             <NA>       <NA>
+      41    COMPLETED 2022-03-06  1096             <NA>       <NA>
+                     DTHCAUS              DTHCAT LDDTHELD LDDTHGR1   LSTALVDT DTHADY
+      3    LOST TO FOLLOW UP               OTHER       47      >30 2022-04-06   1121
+      9        ADVERSE EVENT       ADVERSE EVENT        3     <=30 2022-02-22   1084
+      11                <NA>                <NA>       NA     <NA> 2022-03-07     NA
+      18                <NA>                <NA>       NA     <NA> 2022-03-31     NA
+      24                <NA>                <NA>       NA     <NA> 2022-03-30     NA
+      30                <NA>                <NA>       NA     <NA> 2022-04-02     NA
+      34 DISEASE PROGRESSION PROGRESSIVE DISEASE        7     <=30 2022-02-20   1069
+      39                <NA>                <NA>       NA     <NA> 2022-03-30     NA
+      41                <NA>                <NA>       NA     <NA> 2022-03-30     NA
+         ADTHAUT ASEQ TTESEQ                     PARAM PARAMCD      AVAL AVALU
+      3     <NA>    4      4 Progression Free Survival     PFS 239.08590  DAYS
+      9      Yes    2      2 Progression Free Survival     PFS 248.53707  DAYS
+      11    <NA>    3      3 Progression Free Survival     PFS 420.38459  DAYS
+      18    <NA>    3      3 Progression Free Survival     PFS  30.04978  DAYS
+      24    <NA>    2      2 Progression Free Survival     PFS 382.86110  DAYS
+      30    <NA>    1      1 Progression Free Survival     PFS 326.40156  DAYS
+      34     Yes    1      1 Progression Free Survival     PFS  45.07870  DAYS
+      39    <NA>    2      2 Progression Free Survival     PFS 899.41424  DAYS
+      41    <NA>    3      3 Progression Free Survival     PFS 131.76520  DAYS
+                        ADTM  ADY CNSR                    EVNTDESC
+      3  2022-02-16 08:01:26 1073    1       Last Tumor Assessment
+      9  2020-04-05 15:24:07  397    0         Disease Progression
+      11 2020-09-20 14:18:17  553    0                       Death
+      18 2020-10-02 09:11:52  571    1 Last Date Known To Be Alive
+      24 2021-09-04 09:35:30  909    0         Disease Progression
+      30 2019-12-14 23:53:53  268    1       Last Tumor Assessment
+      34 2019-11-14 09:38:55  241    0         Disease Progression
+      39 2020-07-15 17:21:21  497    0                       Death
+      41 2020-06-28 06:32:29  480    0                       Death
+                           CNSDTDSC lgTMATRSK is_event gene_factor
+      3            Clinical Cut Off        NA    FALSE  (50%,100%]
+      9                                    NA     TRUE    [0%,50%]
+      11                                   NA     TRUE  (50%,100%]
+      18           Clinical Cut Off        NA    FALSE    [0%,50%]
+      24                                   NA     TRUE  (50%,100%]
+      30 End of AE Reporting Period        NA    FALSE    [0%,50%]
+      34                                   NA     TRUE    [0%,50%]
+      39                                   NA     TRUE    [0%,50%]
+      41                                   NA     TRUE  (50%,100%]
+      
+      $variables
+      $variables$tte
+      [1] "AVAL"
+      
+      $variables$is_event
+      [1] "is_event"
+      
+      $variables$arm
+      [1] "gene_factor"
+      
+      $variables$strat
+      NULL
+
diff --git a/tests/testthat/_snaps/pca.md b/tests/testthat/_snaps/pca.md
new file mode 100644
index 00000000..a3bee8c6
--- /dev/null
+++ b/tests/testthat/_snaps/pca.md
@@ -0,0 +1,110 @@
+# pca module works as expected in the test app
+
+    Code
+      cat(res)
+    Output
+                  x          y PANEL group shape colour size fill alpha stroke
+      1 -0.27038787 -0.3961520     1    -1    19  black  1.5   NA    NA    0.5
+      2 -0.01264326 -0.5281983     1    -1    19  black  1.5   NA    NA    0.5
+      3  0.02108020  0.4483209     1    -1    19  black  1.5   NA    NA    0.5
+      4 -0.45723243  0.3957750     1    -1    19  black  1.5   NA    NA    0.5
+      5  0.71918335  0.0802544     1    -1    19  black  1.5   NA    NA    0.5
+
+---
+
+    Code
+      cat(res)
+    Output
+          low_depth_flag AGE18 STDDRS STDDRSD TRTDRS TRTDRSD BLANP  BLKS FRPST DURIDX
+      PC1          0.001 0.114  0.230   0.230  0.114   0.114 0.001 0.001 0.327  0.029
+      PC2          0.314 0.245  0.018   0.018  0.245   0.245 0.390 0.314 0.245  0.206
+      PC3          0.532 0.115  0.001   0.001  0.115   0.115 0.994 0.532 0.197  0.761
+      PC4          0.153 0.526  0.751   0.751  0.526   0.526 0.181 0.153 0.231  0.004
+          DURSAF DURSUR LNTHRPY DTHFL SITEID INVID   AGE   SEX ETHNIC COUNTRY  DMDY
+      PC1  0.070  0.177   0.936 0.230  0.667 0.497 0.000 0.083  0.000   0.001 0.029
+      PC2  0.114  0.357   0.014 0.018  0.137 0.021 0.147 0.890  0.436   0.314 0.178
+      PC3  0.392  0.046   0.027 0.001  0.059 0.367 0.419 0.013  0.227   0.532 0.546
+      PC4  0.424  0.420   0.023 0.751  0.137 0.116 0.434 0.014  0.337   0.153 0.247
+           BAGE   BWT   BHT  BBMI TRTDUR DISCSTUD DISCDEAT AEWITHFL STDSSDY
+      PC1 0.000 0.104 0.114 0.131  0.070    0.230    0.230    0.114   0.921
+      PC2 0.147 0.744 0.745 0.655  0.114    0.018    0.018    0.245   0.019
+      PC3 0.419 0.018 0.013 0.182  0.392    0.001    0.001    0.115   0.322
+      PC4 0.434 0.134 0.128 0.032  0.424    0.751    0.751    0.526   0.913
+
+---
+
+    Code
+      cat(res)
+    Output
+      NULL
+
+---
+
+    Code
+      cat(res)
+    Output
+                  x           y PANEL group shape colour size fill alpha stroke
+      1 -0.68789565  0.04912578     1    -1    19  black  1.5   NA    NA    0.5
+      2 -0.37824954  0.19209841     1    -1    19  black  1.5   NA    NA    0.5
+      3  0.07502276 -0.31568702     1    -1    19  black  1.5   NA    NA    0.5
+      4  0.33995282 -0.26532014     1    -1    19  black  1.5   NA    NA    0.5
+      5  0.29004708  0.25038379     1    -1    19  black  1.5   NA    NA    0.5
+      6  0.08718694  0.09422278     1    -1    19  black  1.5   NA    NA    0.5
+      7  0.15015883  0.07932206     1    -1    19  black  1.5   NA    NA    0.5
+      8 -0.05952522 -0.58893592     1    -1    19  black  1.5   NA    NA    0.5
+      9  0.18330198  0.50479025     1    -1    19  black  1.5   NA    NA    0.5
+
+---
+
+    Code
+      cat(res)
+    Output
+         colour           x          y PANEL group shape size fill alpha stroke
+      1 #F8766D -0.08263642  0.6615253     1     1    19  1.5   NA    NA    0.5
+      2 #F8766D -0.53157947 -0.4023279     1     1    19  1.5   NA    NA    0.5
+      3 #F8766D  0.61421589 -0.2591974     1     1    19  1.5   NA    NA    0.5
+
+---
+
+    Code
+      cat(res)
+    Output
+         colour          x           y PANEL group shape size fill alpha stroke
+      1 #00BFC4 -0.3939882  0.32024986     1     2    19  1.5   NA    NA    0.5
+      2 #F8766D -0.1255252  0.50888177     1     1    19  1.5   NA    NA    0.5
+      3 #F8766D  0.1611973 -0.32722537     1     1    19  1.5   NA    NA    0.5
+      4 #F8766D -0.3398973 -0.57145897     1     1    19  1.5   NA    NA    0.5
+      5 #F8766D  0.6982134  0.06955271     1     1    19  1.5   NA    NA    0.5
+
+---
+
+    Code
+      cat(res)
+    Output
+         colour           x           y PANEL group shape size fill alpha stroke
+      1 #00BFC4 -0.41921977  0.41965983     1     2    19  1.5   NA    NA    0.5
+      2 #00BFC4 -0.26002371 -0.20051106     1     2    19  1.5   NA    NA    0.5
+      3 #F8766D -0.02075864 -0.03308131     1     1    19  1.5   NA    NA    0.5
+      4 #F8766D  0.08391280 -0.38171401     1     1    19  1.5   NA    NA    0.5
+      5 #F8766D  0.56237459  0.46597929     1     1    19  1.5   NA    NA    0.5
+      6 #F8766D -0.35360914  0.33020146     1     1    19  1.5   NA    NA    0.5
+      7 #F8766D  0.42405052  0.02619397     1     1    19  1.5   NA    NA    0.5
+      8 #F8766D  0.08327651 -0.34886025     1     1    19  1.5   NA    NA    0.5
+      9 #00BFC4 -0.10000316 -0.27786790     1     2    19  1.5   NA    NA    0.5
+
+---
+
+    Code
+      cat(res)
+    Output
+         colour           x           y PANEL group shape size fill alpha stroke
+      1 #00BFC4 -0.41921977  0.41965983     1     2    19  1.5   NA    NA    0.5
+      2 #00BFC4 -0.26002371 -0.20051106     1     2    19  1.5   NA    NA    0.5
+      3 #F8766D -0.02075864 -0.03308131     1     1    19  1.5   NA    NA    0.5
+      4 #F8766D  0.08391280 -0.38171401     1     1    19  1.5   NA    NA    0.5
+      5 #F8766D  0.56237459  0.46597929     1     1    19  1.5   NA    NA    0.5
+      6 #F8766D -0.35360914  0.33020146     1     1    19  1.5   NA    NA    0.5
+      7 #F8766D  0.42405052  0.02619397     1     1    19  1.5   NA    NA    0.5
+      8 #F8766D  0.08327651 -0.34886025     1     1    19  1.5   NA    NA    0.5
+      9 #00BFC4 -0.10000316 -0.27786790     1     2    19  1.5   NA    NA    0.5
+
diff --git a/tests/testthat/_snaps/quality.md b/tests/testthat/_snaps/quality.md
new file mode 100644
index 00000000..d4e51c85
--- /dev/null
+++ b/tests/testthat/_snaps/quality.md
@@ -0,0 +1,111 @@
+# quality module works as expected in the test app
+
+    Code
+      res
+    Output
+      $message
+      [1] "Please change gene filters to ensure that there are at least 2 genes"
+      
+      $call
+      [1] "NULL"
+      
+      $type
+      [1] "shiny.silent.error" "validation"        
+      
+
+---
+
+    Code
+      cat(res)
+    Output
+         y count       x    xmin    xmax      density ncount ndensity flipped_aes
+      1  1     1 1781977 1772292 1791661 8.604677e-06      1        1       FALSE
+      2  0     0 1801346 1791661 1811031 0.000000e+00      0        0       FALSE
+      3  0     0 1820715 1811031 1830400 0.000000e+00      0        0       FALSE
+      4  1     1 1840084 1830400 1849769 8.604677e-06      1        1       FALSE
+      5  1     1 1859454 1849769 1869138 8.604677e-06      1        1       FALSE
+      6  0     0 1878823 1869138 1888508 0.000000e+00      0        0       FALSE
+      7  0     0 1898192 1888508 1907877 0.000000e+00      0        0       FALSE
+      8  0     0 1917562 1907877 1927246 0.000000e+00      0        0       FALSE
+      9  0     0 1936931 1927246 1946616 0.000000e+00      0        0       FALSE
+      10 0     0 1956300 1946616 1965985 0.000000e+00      0        0       FALSE
+      11 1     1 1975670 1965985 1985354 8.604677e-06      1        1       FALSE
+      12 0     0 1995039 1985354 2004724 0.000000e+00      0        0       FALSE
+      13 0     0 2014408 2004724 2024093 0.000000e+00      0        0       FALSE
+      14 0     0 2033778 2024093 2043462 0.000000e+00      0        0       FALSE
+      15 0     0 2053147 2043462 2062832 0.000000e+00      0        0       FALSE
+      16 0     0 2072516 2062832 2082201 0.000000e+00      0        0       FALSE
+      17 0     0 2091886 2082201 2101570 0.000000e+00      0        0       FALSE
+      18 0     0 2111255 2101570 2120939 0.000000e+00      0        0       FALSE
+      19 1     1 2130624 2120939 2140309 8.604677e-06      1        1       FALSE
+      20 0     0 2149993 2140309 2159678 0.000000e+00      0        0       FALSE
+      21 0     0 2169363 2159678 2179047 0.000000e+00      0        0       FALSE
+      22 0     0 2188732 2179047 2198417 0.000000e+00      0        0       FALSE
+      23 0     0 2208101 2198417 2217786 0.000000e+00      0        0       FALSE
+      24 0     0 2227471 2217786 2237155 0.000000e+00      0        0       FALSE
+      25 0     0 2246840 2237155 2256525 0.000000e+00      0        0       FALSE
+      26 0     0 2266209 2256525 2275894 0.000000e+00      0        0       FALSE
+      27 0     0 2285579 2275894 2295263 0.000000e+00      0        0       FALSE
+      28 0     0 2304948 2295263 2314633 0.000000e+00      0        0       FALSE
+      29 0     0 2324317 2314633 2334002 0.000000e+00      0        0       FALSE
+      30 1     1 2343687 2334002 2353371 8.604677e-06      1        1       FALSE
+         PANEL group ymin ymax colour     fill linewidth linetype alpha
+      1      1    -1    0    1     NA darkgrey       0.5        1    NA
+      2      1    -1    0    0     NA darkgrey       0.5        1    NA
+      3      1    -1    0    0     NA darkgrey       0.5        1    NA
+      4      1    -1    0    1     NA darkgrey       0.5        1    NA
+      5      1    -1    0    1     NA darkgrey       0.5        1    NA
+      6      1    -1    0    0     NA darkgrey       0.5        1    NA
+      7      1    -1    0    0     NA darkgrey       0.5        1    NA
+      8      1    -1    0    0     NA darkgrey       0.5        1    NA
+      9      1    -1    0    0     NA darkgrey       0.5        1    NA
+      10     1    -1    0    0     NA darkgrey       0.5        1    NA
+      11     1    -1    0    1     NA darkgrey       0.5        1    NA
+      12     1    -1    0    0     NA darkgrey       0.5        1    NA
+      13     1    -1    0    0     NA darkgrey       0.5        1    NA
+      14     1    -1    0    0     NA darkgrey       0.5        1    NA
+      15     1    -1    0    0     NA darkgrey       0.5        1    NA
+      16     1    -1    0    0     NA darkgrey       0.5        1    NA
+      17     1    -1    0    0     NA darkgrey       0.5        1    NA
+      18     1    -1    0    0     NA darkgrey       0.5        1    NA
+      19     1    -1    0    1     NA darkgrey       0.5        1    NA
+      20     1    -1    0    0     NA darkgrey       0.5        1    NA
+      21     1    -1    0    0     NA darkgrey       0.5        1    NA
+      22     1    -1    0    0     NA darkgrey       0.5        1    NA
+      23     1    -1    0    0     NA darkgrey       0.5        1    NA
+      24     1    -1    0    0     NA darkgrey       0.5        1    NA
+      25     1    -1    0    0     NA darkgrey       0.5        1    NA
+      26     1    -1    0    0     NA darkgrey       0.5        1    NA
+      27     1    -1    0    0     NA darkgrey       0.5        1    NA
+      28     1    -1    0    0     NA darkgrey       0.5        1    NA
+      29     1    -1    0    0     NA darkgrey       0.5        1    NA
+      30     1    -1    0    1     NA darkgrey       0.5        1    NA
+
+---
+
+    Code
+      cat(res)
+    Output
+          x        y PANEL group flipped_aes ymin     ymax xmin  xmax colour   fill
+      1   1 17.72389     1     1       FALSE    0 17.72389 0.55  1.45     NA grey35
+      2   2 14.37759     1     2       FALSE    0 14.37759 1.55  2.45     NA grey35
+      3   3 14.20068     1     3       FALSE    0 14.20068 2.55  3.45     NA grey35
+      4   4 14.17412     1     4       FALSE    0 14.17412 3.55  4.45     NA grey35
+      5   5 14.01385     1     5       FALSE    0 14.01385 4.55  5.45     NA grey35
+      6   6 13.44916     1     6       FALSE    0 13.44916 5.55  6.45     NA grey35
+      7   7 13.27510     1     7       FALSE    0 13.27510 6.55  7.45     NA grey35
+      8   8 13.17301     1     8       FALSE    0 13.17301 7.55  8.45     NA grey35
+      9   9 13.03098     1     9       FALSE    0 13.03098 8.55  9.45     NA grey35
+      10 10 12.93251     1    10       FALSE    0 12.93251 9.55 10.45     NA grey35
+         linewidth linetype alpha
+      1        0.5        1    NA
+      2        0.5        1    NA
+      3        0.5        1    NA
+      4        0.5        1    NA
+      5        0.5        1    NA
+      6        0.5        1    NA
+      7        0.5        1    NA
+      8        0.5        1    NA
+      9        0.5        1    NA
+      10       0.5        1    NA
+
diff --git a/tests/testthat/_snaps/scatterplot.md b/tests/testthat/_snaps/scatterplot.md
new file mode 100644
index 00000000..7695afd4
--- /dev/null
+++ b/tests/testthat/_snaps/scatterplot.md
@@ -0,0 +1,5 @@
+# scatterplot module works as expected in the test app
+
+    Code
+      cat(res)
+
diff --git a/tests/testthat/_snaps/volcanoplot.md b/tests/testthat/_snaps/volcanoplot.md
new file mode 100644
index 00000000..293332dc
--- /dev/null
+++ b/tests/testthat/_snaps/volcanoplot.md
@@ -0,0 +1,10 @@
+# volcanoplot module works as expected in the test app
+
+    Code
+      cat(res)
+
+---
+
+    Code
+      cat(res)
+
diff --git a/tests/testthat/_snaps/windows-4.3/scatterplot/scatterplot-001.new.png b/tests/testthat/_snaps/windows-4.3/scatterplot/scatterplot-001.new.png
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diff --git a/tests/testthat/barplot/app.R b/tests/testthat/barplot/app.R
index 9c00725d..2a3ea592 100644
--- a/tests/testthat/barplot/app.R
+++ b/tests/testthat/barplot/app.R
@@ -1,3 +1,3 @@
 library(teal.modules.hermes)
 
-sample_tm_g_barplot()
+sample_tm_g_barplot(.test = TRUE)
diff --git a/tests/testthat/boxplot/app.R b/tests/testthat/boxplot/app.R
index f1e1cb33..89798ff9 100644
--- a/tests/testthat/boxplot/app.R
+++ b/tests/testthat/boxplot/app.R
@@ -1,3 +1,3 @@
 library(teal.modules.hermes)
 
-sample_tm_g_boxplot()
+sample_tm_g_boxplot(.test = TRUE)
diff --git a/tests/testthat/forest_tte/app.R b/tests/testthat/forest_tte/app.R
index f31aa02f..8c054fe5 100644
--- a/tests/testthat/forest_tte/app.R
+++ b/tests/testthat/forest_tte/app.R
@@ -1,3 +1,3 @@
 library(teal.modules.hermes)
 
-sample_tm_g_forest_tte()
+sample_tm_g_forest_tte(.test = TRUE)
diff --git a/tests/testthat/km/app.R b/tests/testthat/km/app.R
index 57255a74..848febef 100644
--- a/tests/testthat/km/app.R
+++ b/tests/testthat/km/app.R
@@ -1,3 +1,3 @@
 library(teal.modules.hermes)
 
-sample_tm_g_km()
+sample_tm_g_km(.test = TRUE)
diff --git a/tests/testthat/pca/app.R b/tests/testthat/pca/app.R
index dca1c9bb..29699a8d 100644
--- a/tests/testthat/pca/app.R
+++ b/tests/testthat/pca/app.R
@@ -1,3 +1,3 @@
 library(teal.modules.hermes)
 
-sample_tm_g_pca()
+sample_tm_g_pca(.test = TRUE)
diff --git a/tests/testthat/quality/app.R b/tests/testthat/quality/app.R
index 34536280..0ea3f3ec 100644
--- a/tests/testthat/quality/app.R
+++ b/tests/testthat/quality/app.R
@@ -1,3 +1,3 @@
 library(teal.modules.hermes)
 
-sample_tm_g_quality()
+sample_tm_g_quality(.test = TRUE)
diff --git a/tests/testthat/scatterplot/app.R b/tests/testthat/scatterplot/app.R
index e1b1071f..1b94a15a 100644
--- a/tests/testthat/scatterplot/app.R
+++ b/tests/testthat/scatterplot/app.R
@@ -1,3 +1,3 @@
 library(teal.modules.hermes)
 
-sample_tm_g_scatterplot()
+sample_tm_g_scatterplot(.test = TRUE)
diff --git a/tests/testthat/test-barplot.R b/tests/testthat/test-barplot.R
index 7f29ccb7..436eb420 100644
--- a/tests/testthat/test-barplot.R
+++ b/tests/testthat/test-barplot.R
@@ -46,7 +46,7 @@ test_that("barplot module works as expected in the test app", {
   expect_null(res)
 
   # check initial message
-  res <- app$get_value(output = ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
   expect_equal(res$message, "please select at least one gene")
 
   # Set values
@@ -73,7 +73,7 @@ test_that("barplot module works as expected in the test app", {
   app$set_inputs(!!ns("percentiles") := c(0.1, 0.1))
   app$wait_for_idle()
 
-  res <- app$get_value(output = ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
   expect_equal(
     res$message,
     "please select two different quantiles - if you want only 2 groups, choose one quantile as 0 or 1"
@@ -89,7 +89,11 @@ test_that("barplot module works as expected in the test app", {
   )
 
   app$wait_for_idle()
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+
+  res <- app$get_value(output = ns("table"))
+  expect_snapshot(
+    cat(res)
+  )
 
   app$stop()
 })
diff --git a/tests/testthat/test-boxplot.R b/tests/testthat/test-boxplot.R
index 81533782..12fe891b 100644
--- a/tests/testthat/test-boxplot.R
+++ b/tests/testthat/test-boxplot.R
@@ -45,7 +45,7 @@ test_that("boxplot module works as expected in the test app", {
   expect_null(res)
 
   # check initial message
-  res <- app$get_value(output = ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
   expect_equal(res$message, "please select at least one gene")
 
   # Do a couple of updates to obtain a plot.
@@ -59,7 +59,8 @@ test_that("boxplot module works as expected in the test app", {
 
   app$wait_for_idle()
 
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
+  expect_snapshot(cat(res))
 
   app$stop()
 })
diff --git a/tests/testthat/test-forest.R b/tests/testthat/test-forest.R
index f9b666f0..9a17519c 100644
--- a/tests/testthat/test-forest.R
+++ b/tests/testthat/test-forest.R
@@ -39,7 +39,7 @@ test_that("forest_tte module works as expected in the test app", {
   res <- app$get_value(input = ns("experiment-name"))
   expect_identical(res, "hd1")
 
-  res <- app$get_value(output = ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
   expect_identical(
     res$message,
     "No assays eligible for this experiment, please make sure to add normalized assays"
@@ -61,7 +61,10 @@ test_that("forest_tte module works as expected in the test app", {
   app$set_inputs(!!ns("adtte-paramcd") := "PFS")
 
   app$wait_for_idle()
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
+  expect_snapshot(
+    cat(res)
+  )
 
   app$stop()
 })
diff --git a/tests/testthat/test-km.R b/tests/testthat/test-km.R
index 38e1d47f..6d7cdd8c 100644
--- a/tests/testthat/test-km.R
+++ b/tests/testthat/test-km.R
@@ -55,12 +55,15 @@ test_that("km module works as expected in the test app", {
   app$wait_for_idle()
 
   # Choose an endpoint.
-  res <- app$get_value(output = ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
   expect_identical(res$message, "please select an endpoint")
   app$set_inputs(!!ns("adtte-paramcd") := "PFS")
   app$wait_for_idle()
 
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
+  expect_snapshot(
+    cat(res)
+  )
   app$stop()
 })
 
diff --git a/tests/testthat/test-pca.R b/tests/testthat/test-pca.R
index 4de07abb..8fe6205b 100644
--- a/tests/testthat/test-pca.R
+++ b/tests/testthat/test-pca.R
@@ -56,7 +56,10 @@ test_that("pca module works as expected in the test app", {
   res <- app$get_value(input = ns("show_matrix"))
   expect_true(res)
 
-  app$expect_select_screenshot(ns("plot_pca-plot_main")) # 1
+  res <- app$get_value(output = ns("test_pca"))
+  expect_snapshot(
+    cat(res)
+  )
 
   # Add a gene filter and deselect everything and check that it does not crash.
   app$set_inputs(!!ns2("add-MAE-hd1-row_to_add") := "symbol")
@@ -66,7 +69,7 @@ test_that("pca module works as expected in the test app", {
   app$set_inputs(!!ns2("active-MAE-hd1-MAE_symbol_hd1_subset-inputs-selection_open") := FALSE, allow_no_input_binding_ = TRUE)
 
   app$wait_for_idle()
-  res <- app$get_value(output = ns("plot_pca-plot_main"))
+  res <- app$get_value(output = ns("test_pca"))
   expect_match(res$message, "No genes or samples included in this experiment, please adjust filters")
 
   # Remove filters
@@ -88,8 +91,10 @@ test_that("pca module works as expected in the test app", {
   res <- app$get_value(input = ns("show_matrix"))
   expect_true(res)
 
-  app$expect_select_screenshot(ns("plot_cor-plot_main")) # 2
-  app$expect_select_screenshot(ns("table_cor")) # 3
+  res <- app$get_value(output = ns("test_cor"))
+  expect_snapshot(
+    cat(res)
+  )
 
   # Now update experiment name, assay name, cluster & matrix option on correlation tab.
   app$set_inputs(!!ns("experiment-name") := "hd2")
@@ -98,7 +103,10 @@ test_that("pca module works as expected in the test app", {
   app$set_inputs(!!ns("show_matrix") := FALSE)
 
   app$wait_for_idle()
-  app$expect_select_screenshot(ns("plot_cor-plot_main")) # 4
+  res <- app$get_value(output = ns("test_cor"))
+  expect_snapshot(
+    cat(res)
+  )
 
   # Now go back to pca tab and update experiment, assay name, variance % option,
   # label option and matrix option.
@@ -110,8 +118,10 @@ test_that("pca module works as expected in the test app", {
   app$set_inputs(!!ns("label") := FALSE)
 
   app$wait_for_idle()
-  app$expect_select_screenshot(ns("plot_pca-plot_main"))
-  app$expect_select_screenshot(ns("table_pca"))
+  res <- app$get_value(output = ns("test_pca"))
+  expect_snapshot(
+    cat(res)
+  )
 
   # Update experiment / assay (ensure xvar and yvar revert back to PC1 and PC2, assay to counts)
   # and add color for pca.
@@ -165,7 +175,10 @@ test_that("pca module works as expected in the test app", {
   res <- app$get_value(input = ns("y_var"))
   expect_identical(res, "2")
 
-  app$expect_select_screenshot(ns("plot_pca-plot_main"))
+  res <- app$get_value(output = ns("test_pca"))
+  expect_snapshot(
+    cat(res)
+  )
 
   # Update to cor tab.
   app$set_inputs(!!ns2("active-MAE-subjects-MAE_SEX-inputs-selection_open") := TRUE, allow_no_input_binding_ = TRUE)
@@ -173,7 +186,7 @@ test_that("pca module works as expected in the test app", {
   app$set_inputs(!!ns2("active-MAE-subjects-MAE_SEX-inputs-selection_open") := FALSE, allow_no_input_binding_ = TRUE)
 
   app$wait_for_idle()
-  res <- app$get_value(output = ns("plot_pca-plot_main"))
+  res <- app$get_value(output = ns("test_pca"))
   expect_identical(res$message, "Sample size is too small. PCA needs more than 2 samples.")
 
   # Remove filter.
@@ -184,7 +197,10 @@ test_that("pca module works as expected in the test app", {
   res <- app$wait_for_value(input = ns("n_top"))
   expect_identical(res, 500L)
 
-  app$expect_select_screenshot(ns("plot_pca-plot_main"))
+  res <- app$get_value(output = ns("test_pca"))
+  expect_snapshot(
+    cat(res)
+  )
 
   # Change the number of top genes.
   app$set_inputs(!!ns("n_top") := 777L)
@@ -199,12 +215,18 @@ test_that("pca module works as expected in the test app", {
   # Increase number of top genes to maximum.
   app$set_inputs(!!ns("n_top") := 2500L)
   app$wait_for_idle()
-  app$expect_select_screenshot(ns("plot_pca-plot_main"))
+  res <- app$get_value(output = ns("test_pca"))
+  expect_snapshot(
+    cat(res)
+  )
 
   # Switch off gene filtering and check that table is still the same.
   app$set_inputs(!!ns("filter_top") := FALSE)
   app$wait_for_idle()
-  app$expect_select_screenshot(ns("plot_pca-plot_main"))
+  res <- app$get_value(output = ns("test_pca"))
+  expect_snapshot(
+    cat(res)
+  )
 
   # Go back to first experiment and check that n_top stayed the same.
   app$set_inputs(!!ns("experiment-name") := "hd1")
diff --git a/tests/testthat/test-quality.R b/tests/testthat/test-quality.R
index f8847ab8..e51968b1 100644
--- a/tests/testthat/test-quality.R
+++ b/tests/testthat/test-quality.R
@@ -45,11 +45,14 @@ test_that("quality module works as expected in the test app", {
 
   # Check that warning message for at least 2 genes works as expected.
   app$set_inputs(!!ns("min_cpm") := 54356)
-  res <- app$wait_for_value(output = ns("plot-plot_out_main"))
+  res <- app$wait_for_value(output = ns("table"))
   expect_identical(res$message, "Please change gene filters to ensure that there are at least 2 genes")
 
   # Initial plot.
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
+  expect_snapshot(
+    res
+  )
 
   # Choose another experiment.
   app$set_inputs(!!ns("experiment-name") := "hd3")
@@ -63,13 +66,19 @@ test_that("quality module works as expected in the test app", {
   expect_identical(res, 1777260L)
 
   # Final histogram plot.
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
+  expect_snapshot(
+    cat(res)
+  )
 
   # Change to another plot type so that we can choose another assay.
   app$set_inputs(!!ns("plot_type") := "Top Genes Plot")
   app$set_inputs(!!ns("assay-name") := "cpm")
   app$wait_for_idle(timeout = 30000)
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
+  expect_snapshot(
+    cat(res)
+  )
   app$stop()
 })
 
diff --git a/tests/testthat/test-scatterplot.R b/tests/testthat/test-scatterplot.R
index beab64fb..9495d235 100644
--- a/tests/testthat/test-scatterplot.R
+++ b/tests/testthat/test-scatterplot.R
@@ -40,7 +40,7 @@ test_that("scatterplot module works as expected in the test app", {
   res <- app$get_value(input = ns("experiment-name"))
   expect_identical(res, "hd1")
 
-  res <- app$get_value(output = ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
   expect_identical(res$message, "No assays eligible for this experiment, please make sure to add normalized assays")
 
   # Choose another experiment.
@@ -55,7 +55,7 @@ test_that("scatterplot module works as expected in the test app", {
   res <- app$get_value(input = ns("y_spec-genes"))
   expect_null(res)
 
-  res <- app$get_value(output = ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
   expect_identical(res$message, "please select at least one gene")
 
   # Set one gene each.
@@ -90,7 +90,10 @@ test_that("scatterplot module works as expected in the test app", {
   app$set_inputs(!!ns("facet_var-sample_var") := "AGE18")
 
   app$wait_for_idle()
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("table"))
+  expect_snapshot(
+    cat(res)
+  )
 
   app$stop()
 })
diff --git a/tests/testthat/test-volcanoplot.R b/tests/testthat/test-volcanoplot.R
index 7bcca117..c394f88c 100644
--- a/tests/testthat/test-volcanoplot.R
+++ b/tests/testthat/test-volcanoplot.R
@@ -39,19 +39,21 @@ test_that("volcanoplot module works as expected in the test app", {
   expect_null(res)
 
   # check initial message
-  res <- app$get_value(output = ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("test"))
   expect_identical(res$message, "Please select a group variable")
 
   # Select an initial group variable.
   app$set_inputs(!!ns("compare_group-sample_var") := "AGE18")
   app$wait_for_idle()
 
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("test"))
+  expect_snapshot(cat(res))
 
   # Now change the log2_fc_thresh and check that the plot is updated accordingly.
   app$set_inputs(!!ns("log2_fc_thresh") := 8)
 
-  app$expect_select_screenshot(ns("plot-plot_out_main"))
+  res <- app$get_value(output = ns("test"))
+  expect_snapshot(cat(res))
   app$stop()
 })
 
diff --git a/tests/testthat/volcanoplot/app.R b/tests/testthat/volcanoplot/app.R
index cffb3523..2b544400 100644
--- a/tests/testthat/volcanoplot/app.R
+++ b/tests/testthat/volcanoplot/app.R
@@ -1,3 +1,3 @@
 library(teal.modules.hermes)
 
-sample_tm_g_volcanoplot()
+sample_tm_g_volcanoplot(.test = TRUE)

From 4c1d9726219c92f0238e1b6047d2fd57e674564d Mon Sep 17 00:00:00 2001
From: danielinteractive <danielinteractive@users.noreply.github.com>
Date: Mon, 25 Mar 2024 19:41:20 +0000
Subject: [PATCH 10/14] [skip actions] Bump version to 0.1.6.9008

---
 DESCRIPTION | 4 ++--
 NEWS.md     | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index d150f749..ce01387f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Type: Package
 Package: teal.modules.hermes
 Title: RNA-Seq Analysis Modules to Add to a Teal Application
-Version: 0.1.6.9007
-Date: 2024-03-20
+Version: 0.1.6.9008
+Date: 2024-03-25
 Authors@R: c(
     person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@roche.com", role = c("aut", "cre")),
     person("Nikolas", "Burkoff", role = "aut"),
diff --git a/NEWS.md b/NEWS.md
index 79de726e..dbfbcb05 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# teal.modules.hermes 0.1.6.9007
+# teal.modules.hermes 0.1.6.9008
 
 ### Miscellaneous
 * Added placeholders for `assaySpec`, `adtteSpec` and `geneSpec` inputs when no option is selected.

From 4933b333e2c37ef832790aea28e7752f3346b53f Mon Sep 17 00:00:00 2001
From: b_falquet <64274616+BFalquet@users.noreply.github.com>
Date: Wed, 27 Mar 2024 10:03:46 +0100
Subject: [PATCH 11/14] increase timeout (#373)

increase timeout and update snapshots

Co-authored-by: benoit <benoit.falquet@roche.com>
---
 tests/testthat/_snaps/volcanoplot.md | 4006 ++++++++++++++++++++++++++
 tests/testthat/test-volcanoplot.R    |    3 +-
 2 files changed, 4008 insertions(+), 1 deletion(-)

diff --git a/tests/testthat/_snaps/volcanoplot.md b/tests/testthat/_snaps/volcanoplot.md
index 293332dc..3092c931 100644
--- a/tests/testthat/_snaps/volcanoplot.md
+++ b/tests/testthat/_snaps/volcanoplot.md
@@ -2,9 +2,4015 @@
 
     Code
       cat(res)
+    Output
+            colour             x            y       label PANEL group shape size fill
+      1    #00BFC4  4.5441482325 1.3818956504 GeneID:2271     1     2    19  1.5   NA
+      2    #F8766D  2.8853747884 0.5982482965        <NA>     1     1    19  1.5   NA
+      3    #F8766D  3.2680928854 0.1381377699        <NA>     1     1    19  1.5   NA
+      4    #F8766D -2.7685178364 0.0021205292        <NA>     1     1    19  1.5   NA
+      5    #F8766D -2.0015845977 0.0021205292        <NA>     1     1    19  1.5   NA
+      6    #F8766D  1.8697266400 0.0021205292        <NA>     1     1    19  1.5   NA
+      7    #F8766D -2.6310797515 0.0021205292        <NA>     1     1    19  1.5   NA
+      8    #F8766D  1.5810468973 0.0021205292        <NA>     1     1    19  1.5   NA
+      9    #F8766D -1.4990238390 0.0021205292        <NA>     1     1    19  1.5   NA
+      10   #F8766D -4.2872259508 0.0021205292        <NA>     1     1    19  1.5   NA
+      11   #F8766D  1.4516881799 0.0021205292        <NA>     1     1    19  1.5   NA
+      12   #F8766D  2.1168366450 0.0021205292        <NA>     1     1    19  1.5   NA
+      13   #F8766D  1.2946089192 0.0021205292        <NA>     1     1    19  1.5   NA
+      14   #F8766D  2.8936076107 0.0021205292        <NA>     1     1    19  1.5   NA
+      15   #F8766D  3.3837531530 0.0021205292        <NA>     1     1    19  1.5   NA
+      16   #F8766D -2.5919810070 0.0021205292        <NA>     1     1    19  1.5   NA
+      17   #F8766D -1.3947473565 0.0021205292        <NA>     1     1    19  1.5   NA
+      18   #F8766D  1.2566241369 0.0021205292        <NA>     1     1    19  1.5   NA
+      19   #F8766D -1.6589074589 0.0021205292        <NA>     1     1    19  1.5   NA
+      20   #F8766D -1.4300484029 0.0021205292        <NA>     1     1    19  1.5   NA
+      21   #F8766D  2.1974756887 0.0021205292        <NA>     1     1    19  1.5   NA
+      22   #F8766D  0.6608191174 0.0021205292        <NA>     1     1    19  1.5   NA
+      23   #F8766D  1.2021489695 0.0021205292        <NA>     1     1    19  1.5   NA
+      24   #F8766D  0.5843206218 0.0021205292        <NA>     1     1    19  1.5   NA
+      25   #F8766D -0.6315527980 0.0021205292        <NA>     1     1    19  1.5   NA
+      26   #F8766D  1.0777341120 0.0021205292        <NA>     1     1    19  1.5   NA
+      27   #F8766D  3.7855164763 0.0021205292        <NA>     1     1    19  1.5   NA
+      28   #F8766D  0.6461020658 0.0021205292        <NA>     1     1    19  1.5   NA
+      29   #F8766D -1.4230348186 0.0021205292        <NA>     1     1    19  1.5   NA
+      30   #F8766D  1.1571699120 0.0021205292        <NA>     1     1    19  1.5   NA
+      31   #F8766D  1.1276216809 0.0021205292        <NA>     1     1    19  1.5   NA
+      32   #F8766D  1.0268324929 0.0021205292        <NA>     1     1    19  1.5   NA
+      33   #F8766D  0.6601321397 0.0021205292        <NA>     1     1    19  1.5   NA
+      34   #F8766D  1.0534140185 0.0021205292        <NA>     1     1    19  1.5   NA
+      35   #F8766D  1.0902897066 0.0021205292        <NA>     1     1    19  1.5   NA
+      36   #F8766D -1.2734106246 0.0021205292        <NA>     1     1    19  1.5   NA
+      37   #F8766D -1.0679120160 0.0021205292        <NA>     1     1    19  1.5   NA
+      38   #F8766D  1.2687751940 0.0021205292        <NA>     1     1    19  1.5   NA
+      39   #F8766D  2.0914440733 0.0021205292        <NA>     1     1    19  1.5   NA
+      40   #F8766D  1.7217579263 0.0021205292        <NA>     1     1    19  1.5   NA
+      41   #F8766D -1.1077108646 0.0021205292        <NA>     1     1    19  1.5   NA
+      42   #F8766D  0.9678855059 0.0021205292        <NA>     1     1    19  1.5   NA
+      43   #F8766D  1.5771314667 0.0021205292        <NA>     1     1    19  1.5   NA
+      44   #F8766D -0.6118345861 0.0021205292        <NA>     1     1    19  1.5   NA
+      45   #F8766D -1.3077739654 0.0021205292        <NA>     1     1    19  1.5   NA
+      46   #F8766D  0.6039958057 0.0021205292        <NA>     1     1    19  1.5   NA
+      47   #F8766D -0.5891876151 0.0021205292        <NA>     1     1    19  1.5   NA
+      48   #F8766D  4.0428041037 0.0021205292        <NA>     1     1    19  1.5   NA
+      49   #F8766D -0.5865558008 0.0021205292        <NA>     1     1    19  1.5   NA
+      50   #F8766D -1.5221409799 0.0021205292        <NA>     1     1    19  1.5   NA
+      51   #F8766D  1.0560885560 0.0021205292        <NA>     1     1    19  1.5   NA
+      52   #F8766D  0.8835172546 0.0021205292        <NA>     1     1    19  1.5   NA
+      53   #F8766D  0.9188454400 0.0021205292        <NA>     1     1    19  1.5   NA
+      54   #F8766D -0.5306488162 0.0021205292        <NA>     1     1    19  1.5   NA
+      55   #F8766D -1.4267870613 0.0021205292        <NA>     1     1    19  1.5   NA
+      56   #F8766D -1.1722045261 0.0021205292        <NA>     1     1    19  1.5   NA
+      57   #F8766D -0.9388988613 0.0021205292        <NA>     1     1    19  1.5   NA
+      58   #F8766D -1.9686936318 0.0021205292        <NA>     1     1    19  1.5   NA
+      59   #F8766D  0.5199593392 0.0021205292        <NA>     1     1    19  1.5   NA
+      60   #F8766D -0.6618351108 0.0021205292        <NA>     1     1    19  1.5   NA
+      61   #F8766D  1.0506953534 0.0021205292        <NA>     1     1    19  1.5   NA
+      62   #F8766D  1.2699072074 0.0021205292        <NA>     1     1    19  1.5   NA
+      63   #F8766D  1.4801374750 0.0021205292        <NA>     1     1    19  1.5   NA
+      64   #F8766D -2.1011618432 0.0021205292        <NA>     1     1    19  1.5   NA
+      65   #F8766D  0.9436583946 0.0021205292        <NA>     1     1    19  1.5   NA
+      66   #F8766D -1.9496065182 0.0021205292        <NA>     1     1    19  1.5   NA
+      67   #F8766D  0.8588552203 0.0021205292        <NA>     1     1    19  1.5   NA
+      68   #F8766D  0.8082499189 0.0021205292        <NA>     1     1    19  1.5   NA
+      69   #F8766D  1.1185073946 0.0021205292        <NA>     1     1    19  1.5   NA
+      70   #F8766D -0.5710990401 0.0021205292        <NA>     1     1    19  1.5   NA
+      71   #F8766D -0.4747147614 0.0021205292        <NA>     1     1    19  1.5   NA
+      72   #F8766D  0.4807212287 0.0021205292        <NA>     1     1    19  1.5   NA
+      73   #F8766D  0.8750972790 0.0021205292        <NA>     1     1    19  1.5   NA
+      74   #F8766D -1.9252179935 0.0021205292        <NA>     1     1    19  1.5   NA
+      75   #F8766D -0.5126246305 0.0021205292        <NA>     1     1    19  1.5   NA
+      76   #F8766D  0.8833019705 0.0021205292        <NA>     1     1    19  1.5   NA
+      77   #F8766D  0.8804282207 0.0021205292        <NA>     1     1    19  1.5   NA
+      78   #F8766D  0.8085531676 0.0021205292        <NA>     1     1    19  1.5   NA
+      79   #F8766D  0.9919429354 0.0021205292        <NA>     1     1    19  1.5   NA
+      80   #F8766D  0.9182626855 0.0021205292        <NA>     1     1    19  1.5   NA
+      81   #F8766D  0.4849287432 0.0021205292        <NA>     1     1    19  1.5   NA
+      82   #F8766D  0.4535520658 0.0021205292        <NA>     1     1    19  1.5   NA
+      83   #F8766D  0.7084222232 0.0021205292        <NA>     1     1    19  1.5   NA
+      84   #F8766D  0.9057858766 0.0021205292        <NA>     1     1    19  1.5   NA
+      85   #F8766D  0.8457319762 0.0021205292        <NA>     1     1    19  1.5   NA
+      86   #F8766D  1.0567186323 0.0021205292        <NA>     1     1    19  1.5   NA
+      87   #F8766D  1.0996113165 0.0021205292        <NA>     1     1    19  1.5   NA
+      88   #F8766D  0.6003317781 0.0021205292        <NA>     1     1    19  1.5   NA
+      89   #F8766D  2.4461464255 0.0021205292        <NA>     1     1    19  1.5   NA
+      90   #F8766D  0.4774418799 0.0021205292        <NA>     1     1    19  1.5   NA
+      91   #F8766D  0.8129876269 0.0021205292        <NA>     1     1    19  1.5   NA
+      92   #F8766D  1.0792170167 0.0021205292        <NA>     1     1    19  1.5   NA
+      93   #F8766D  2.3187254719 0.0021205292        <NA>     1     1    19  1.5   NA
+      94   #F8766D  0.9218987819 0.0021205292        <NA>     1     1    19  1.5   NA
+      95   #F8766D  1.0720723275 0.0021205292        <NA>     1     1    19  1.5   NA
+      96   #F8766D -1.3257823843 0.0021205292        <NA>     1     1    19  1.5   NA
+      97   #F8766D  0.8345656062 0.0021205292        <NA>     1     1    19  1.5   NA
+      98   #F8766D -0.4599534999 0.0021205292        <NA>     1     1    19  1.5   NA
+      99   #F8766D -0.6441880108 0.0021205292        <NA>     1     1    19  1.5   NA
+      100  #F8766D  0.7759958764 0.0021205292        <NA>     1     1    19  1.5   NA
+      101  #F8766D  1.0473233404 0.0021205292        <NA>     1     1    19  1.5   NA
+      102  #F8766D -0.4231028209 0.0021205292        <NA>     1     1    19  1.5   NA
+      103  #F8766D -0.4733135214 0.0021205292        <NA>     1     1    19  1.5   NA
+      104  #F8766D -0.9727803596 0.0021205292        <NA>     1     1    19  1.5   NA
+      105  #F8766D  0.7722467186 0.0021205292        <NA>     1     1    19  1.5   NA
+      106  #F8766D  0.7723303950 0.0021205292        <NA>     1     1    19  1.5   NA
+      107  #F8766D -1.1212506240 0.0021205292        <NA>     1     1    19  1.5   NA
+      108  #F8766D  0.4676770021 0.0021205292        <NA>     1     1    19  1.5   NA
+      109  #F8766D  0.4410630412 0.0021205292        <NA>     1     1    19  1.5   NA
+      110  #F8766D -1.6021661180 0.0021205292        <NA>     1     1    19  1.5   NA
+      111  #F8766D -0.7735521870 0.0021205292        <NA>     1     1    19  1.5   NA
+      112  #F8766D  1.0532398858 0.0021205292        <NA>     1     1    19  1.5   NA
+      113  #F8766D  0.8200829526 0.0021205292        <NA>     1     1    19  1.5   NA
+      114  #F8766D  1.0689081046 0.0021205292        <NA>     1     1    19  1.5   NA
+      115  #F8766D  0.8537721903 0.0021205292        <NA>     1     1    19  1.5   NA
+      116  #F8766D -0.9562085177 0.0021205292        <NA>     1     1    19  1.5   NA
+      117  #F8766D -0.4561820132 0.0021205292        <NA>     1     1    19  1.5   NA
+      118  #F8766D -0.5281014198 0.0021205292        <NA>     1     1    19  1.5   NA
+      119  #F8766D -1.1117447604 0.0021205292        <NA>     1     1    19  1.5   NA
+      120  #F8766D -0.4223870215 0.0021205292        <NA>     1     1    19  1.5   NA
+      121  #F8766D -0.4338653184 0.0021205292        <NA>     1     1    19  1.5   NA
+      122  #F8766D  0.4604146623 0.0021205292        <NA>     1     1    19  1.5   NA
+      123  #F8766D -1.8983645761 0.0021205292        <NA>     1     1    19  1.5   NA
+      124  #F8766D -0.4711349780 0.0021205292        <NA>     1     1    19  1.5   NA
+      125  #F8766D  0.4637690485 0.0021205292        <NA>     1     1    19  1.5   NA
+      126  #F8766D -0.4123518649 0.0021205292        <NA>     1     1    19  1.5   NA
+      127  #F8766D  0.9833435800 0.0021205292        <NA>     1     1    19  1.5   NA
+      128  #F8766D  0.9105954136 0.0021205292        <NA>     1     1    19  1.5   NA
+      129  #F8766D -0.4411373075 0.0021205292        <NA>     1     1    19  1.5   NA
+      130  #F8766D  1.1011164140 0.0021205292        <NA>     1     1    19  1.5   NA
+      131  #F8766D  0.4063912697 0.0021205292        <NA>     1     1    19  1.5   NA
+      132  #F8766D  0.9349878804 0.0021205292        <NA>     1     1    19  1.5   NA
+      133  #F8766D -0.6311206654 0.0021205292        <NA>     1     1    19  1.5   NA
+      134  #F8766D -0.7304868310 0.0021205292        <NA>     1     1    19  1.5   NA
+      135  #F8766D  1.0544682243 0.0021205292        <NA>     1     1    19  1.5   NA
+      136  #F8766D  0.4678615627 0.0021205292        <NA>     1     1    19  1.5   NA
+      137  #F8766D  0.7205681717 0.0021205292        <NA>     1     1    19  1.5   NA
+      138  #F8766D -0.9562323584 0.0021205292        <NA>     1     1    19  1.5   NA
+      139  #F8766D  0.3978745347 0.0021205292        <NA>     1     1    19  1.5   NA
+      140  #F8766D  0.7104545209 0.0021205292        <NA>     1     1    19  1.5   NA
+      141  #F8766D  0.4125776954 0.0021205292        <NA>     1     1    19  1.5   NA
+      142  #F8766D  0.7122192129 0.0021205292        <NA>     1     1    19  1.5   NA
+      143  #F8766D -0.8425123236 0.0021205292        <NA>     1     1    19  1.5   NA
+      144  #F8766D  0.6492421984 0.0021205292        <NA>     1     1    19  1.5   NA
+      145  #F8766D  1.0353931279 0.0021205292        <NA>     1     1    19  1.5   NA
+      146  #F8766D  0.7932233645 0.0021205292        <NA>     1     1    19  1.5   NA
+      147  #F8766D  0.4480173986 0.0021205292        <NA>     1     1    19  1.5   NA
+      148  #F8766D  0.4297551938 0.0021205292        <NA>     1     1    19  1.5   NA
+      149  #F8766D -0.9229270583 0.0021205292        <NA>     1     1    19  1.5   NA
+      150  #F8766D  0.6722000551 0.0021205292        <NA>     1     1    19  1.5   NA
+      151  #F8766D  0.4382865233 0.0021205292        <NA>     1     1    19  1.5   NA
+      152  #F8766D -0.3939492820 0.0021205292        <NA>     1     1    19  1.5   NA
+      153  #F8766D  0.7108327840 0.0021205292        <NA>     1     1    19  1.5   NA
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+      155  #F8766D  0.9755432954 0.0021205292        <NA>     1     1    19  1.5   NA
+      156  #F8766D -1.3681844728 0.0021205292        <NA>     1     1    19  1.5   NA
+      157  #F8766D -0.7095631750 0.0021205292        <NA>     1     1    19  1.5   NA
+      158  #F8766D -0.3872607495 0.0021205292        <NA>     1     1    19  1.5   NA
+      159  #F8766D -0.4229868732 0.0021205292        <NA>     1     1    19  1.5   NA
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+      161  #F8766D -0.3884744562 0.0021205292        <NA>     1     1    19  1.5   NA
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+      163  #F8766D -0.3672889171 0.0021205292        <NA>     1     1    19  1.5   NA
+      164  #F8766D -0.4355670192 0.0021205292        <NA>     1     1    19  1.5   NA
+      165  #F8766D  0.6545121813 0.0021205292        <NA>     1     1    19  1.5   NA
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+      167  #F8766D -1.1861517618 0.0021205292        <NA>     1     1    19  1.5   NA
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+      183  #F8766D -0.3928181416 0.0021205292        <NA>     1     1    19  1.5   NA
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+      189  #F8766D -0.3931544973 0.0021205292        <NA>     1     1    19  1.5   NA
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+      191  #F8766D -0.5449095920 0.0021205292        <NA>     1     1    19  1.5   NA
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+      193  #F8766D -0.4455627588 0.0021205292        <NA>     1     1    19  1.5   NA
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+      203  #F8766D -2.8258587123 0.0021205292        <NA>     1     1    19  1.5   NA
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+      330  #F8766D  0.5372000305 0.0021205292        <NA>     1     1    19  1.5   NA
+      331  #F8766D -0.2905559917 0.0021205292        <NA>     1     1    19  1.5   NA
+      332  #F8766D  0.2644082912 0.0021205292        <NA>     1     1    19  1.5   NA
+      333  #F8766D -0.3135406597 0.0021205292        <NA>     1     1    19  1.5   NA
+      334  #F8766D  0.3562688540 0.0021205292        <NA>     1     1    19  1.5   NA
+      335  #F8766D -0.7291590551 0.0021205292        <NA>     1     1    19  1.5   NA
+      336  #F8766D  0.2500154576 0.0021205292        <NA>     1     1    19  1.5   NA
+      337  #F8766D -0.6789647111 0.0021205292        <NA>     1     1    19  1.5   NA
+      338  #F8766D  0.4509775382 0.0021205292        <NA>     1     1    19  1.5   NA
+      339  #F8766D -0.2993343651 0.0021205292        <NA>     1     1    19  1.5   NA
+      340  #F8766D  0.2641133128 0.0021205292        <NA>     1     1    19  1.5   NA
+      341  #F8766D -0.3020799024 0.0021205292        <NA>     1     1    19  1.5   NA
+      342  #F8766D -0.2710179986 0.0021205292        <NA>     1     1    19  1.5   NA
+      343  #F8766D  0.4351808044 0.0021205292        <NA>     1     1    19  1.5   NA
+      344  #F8766D -0.5227249300 0.0021205292        <NA>     1     1    19  1.5   NA
+      345  #F8766D  0.2483553972 0.0021205292        <NA>     1     1    19  1.5   NA
+      346  #F8766D -0.4242568219 0.0021205292        <NA>     1     1    19  1.5   NA
+      347  #F8766D -1.0725152227 0.0021205292        <NA>     1     1    19  1.5   NA
+      348  #F8766D  0.4571846480 0.0021205292        <NA>     1     1    19  1.5   NA
+      349  #F8766D  0.4988136728 0.0021205292        <NA>     1     1    19  1.5   NA
+      350  #F8766D  0.6953252632 0.0021205292        <NA>     1     1    19  1.5   NA
+      351  #F8766D  0.2410544029 0.0021205292        <NA>     1     1    19  1.5   NA
+      352  #F8766D  0.5175130411 0.0021205292        <NA>     1     1    19  1.5   NA
+      353  #F8766D -0.6709335663 0.0021205292        <NA>     1     1    19  1.5   NA
+      354  #F8766D  0.3114712619 0.0021205292        <NA>     1     1    19  1.5   NA
+      355  #F8766D -0.4104370849 0.0021205292        <NA>     1     1    19  1.5   NA
+      356  #F8766D  0.2952405739 0.0021205292        <NA>     1     1    19  1.5   NA
+      357  #F8766D  0.4487253097 0.0021205292        <NA>     1     1    19  1.5   NA
+      358  #F8766D  0.4474532343 0.0021205292        <NA>     1     1    19  1.5   NA
+      359  #F8766D -0.3053799478 0.0021205292        <NA>     1     1    19  1.5   NA
+      360  #F8766D -0.4010622648 0.0021205292        <NA>     1     1    19  1.5   NA
+      361  #F8766D -0.2631023165 0.0021205292        <NA>     1     1    19  1.5   NA
+      362  #F8766D -0.3569947289 0.0021205292        <NA>     1     1    19  1.5   NA
+      363  #F8766D -0.5614679844 0.0021205292        <NA>     1     1    19  1.5   NA
+      364  #F8766D  0.7076694925 0.0021205292        <NA>     1     1    19  1.5   NA
+      365  #F8766D  0.2374402194 0.0021205292        <NA>     1     1    19  1.5   NA
+      366  #F8766D  0.6724119805 0.0021205292        <NA>     1     1    19  1.5   NA
+      367  #F8766D  0.4403945065 0.0021205292        <NA>     1     1    19  1.5   NA
+      368  #F8766D -0.2621067897 0.0021205292        <NA>     1     1    19  1.5   NA
+      369  #F8766D -0.2635115073 0.0021205292        <NA>     1     1    19  1.5   NA
+      370  #F8766D -0.3353818255 0.0021205292        <NA>     1     1    19  1.5   NA
+      371  #F8766D -0.2514804689 0.0021205292        <NA>     1     1    19  1.5   NA
+      372  #F8766D -0.2579959351 0.0021205292        <NA>     1     1    19  1.5   NA
+      373  #F8766D  0.2425340350 0.0021205292        <NA>     1     1    19  1.5   NA
+      374  #F8766D -0.9697882171 0.0021205292        <NA>     1     1    19  1.5   NA
+      375  #F8766D  0.2226739667 0.0021205292        <NA>     1     1    19  1.5   NA
+      376  #F8766D  0.2348380948 0.0021205292        <NA>     1     1    19  1.5   NA
+      377  #F8766D  0.4312612650 0.0021205292        <NA>     1     1    19  1.5   NA
+      378  #F8766D  0.5051418603 0.0021205292        <NA>     1     1    19  1.5   NA
+      379  #F8766D -0.2286818481 0.0021205292        <NA>     1     1    19  1.5   NA
+      380  #F8766D -0.3775536850 0.0021205292        <NA>     1     1    19  1.5   NA
+      381  #F8766D  0.2776478690 0.0021205292        <NA>     1     1    19  1.5   NA
+      382  #F8766D -0.3593048088 0.0021205292        <NA>     1     1    19  1.5   NA
+      383  #F8766D  0.2389571486 0.0021205292        <NA>     1     1    19  1.5   NA
+      384  #F8766D -0.2487954892 0.0021205292        <NA>     1     1    19  1.5   NA
+      385  #F8766D  0.2610043607 0.0021205292        <NA>     1     1    19  1.5   NA
+      386  #F8766D  0.5595579779 0.0021205292        <NA>     1     1    19  1.5   NA
+      387  #F8766D -0.6523690008 0.0021205292        <NA>     1     1    19  1.5   NA
+      388  #F8766D  0.4535294343 0.0021205292        <NA>     1     1    19  1.5   NA
+      389  #F8766D  0.7960057282 0.0021205292        <NA>     1     1    19  1.5   NA
+      390  #F8766D  0.4936763072 0.0021205292        <NA>     1     1    19  1.5   NA
+      391  #F8766D  0.2597379040 0.0021205292        <NA>     1     1    19  1.5   NA
+      392  #F8766D  0.2510662538 0.0021205292        <NA>     1     1    19  1.5   NA
+      393  #F8766D  0.2595230788 0.0021205292        <NA>     1     1    19  1.5   NA
+      394  #F8766D  0.2975290461 0.0021205292        <NA>     1     1    19  1.5   NA
+      395  #F8766D -0.2147854231 0.0021205292        <NA>     1     1    19  1.5   NA
+      396  #F8766D -0.5093831745 0.0021205292        <NA>     1     1    19  1.5   NA
+      397  #F8766D  0.4671136864 0.0021205292        <NA>     1     1    19  1.5   NA
+      398  #F8766D  0.2318773323 0.0021205292        <NA>     1     1    19  1.5   NA
+      399  #F8766D  0.2413981470 0.0021205292        <NA>     1     1    19  1.5   NA
+      400  #F8766D -0.2360650085 0.0021205292        <NA>     1     1    19  1.5   NA
+      401  #F8766D  0.2477701878 0.0021205292        <NA>     1     1    19  1.5   NA
+      402  #F8766D  0.2511348646 0.0021205292        <NA>     1     1    19  1.5   NA
+      403  #F8766D  0.3916729208 0.0021205292        <NA>     1     1    19  1.5   NA
+      404  #F8766D  0.2469908554 0.0021205292        <NA>     1     1    19  1.5   NA
+      405  #F8766D  0.4330210234 0.0021205292        <NA>     1     1    19  1.5   NA
+      406  #F8766D  0.2381657347 0.0021205292        <NA>     1     1    19  1.5   NA
+      407  #F8766D  0.2199339312 0.0021205292        <NA>     1     1    19  1.5   NA
+      408  #F8766D -0.2675779508 0.0021205292        <NA>     1     1    19  1.5   NA
+      409  #F8766D -0.4141492792 0.0021205292        <NA>     1     1    19  1.5   NA
+      410  #F8766D -0.4087444776 0.0021205292        <NA>     1     1    19  1.5   NA
+      411  #F8766D  0.9239443244 0.0021205292        <NA>     1     1    19  1.5   NA
+      412  #F8766D  0.4289958652 0.0021205292        <NA>     1     1    19  1.5   NA
+      413  #F8766D  0.4278679683 0.0021205292        <NA>     1     1    19  1.5   NA
+      414  #F8766D  0.3319365181 0.0021205292        <NA>     1     1    19  1.5   NA
+      415  #F8766D -0.2576166279 0.0021205292        <NA>     1     1    19  1.5   NA
+      416  #F8766D  0.2421629531 0.0021205292        <NA>     1     1    19  1.5   NA
+      417  #F8766D  0.4965992546 0.0021205292        <NA>     1     1    19  1.5   NA
+      418  #F8766D  0.2227846184 0.0021205292        <NA>     1     1    19  1.5   NA
+      419  #F8766D -0.2654171324 0.0021205292        <NA>     1     1    19  1.5   NA
+      420  #F8766D -0.8809674893 0.0021205292        <NA>     1     1    19  1.5   NA
+      421  #F8766D -0.3640459441 0.0021205292        <NA>     1     1    19  1.5   NA
+      422  #F8766D  0.2005369664 0.0021205292        <NA>     1     1    19  1.5   NA
+      423  #F8766D  0.4534842261 0.0021205292        <NA>     1     1    19  1.5   NA
+      424  #F8766D -0.3933862737 0.0021205292        <NA>     1     1    19  1.5   NA
+      425  #F8766D -0.2105289883 0.0021205292        <NA>     1     1    19  1.5   NA
+      426  #F8766D -0.2143911784 0.0021205292        <NA>     1     1    19  1.5   NA
+      427  #F8766D  0.2134026906 0.0021205292        <NA>     1     1    19  1.5   NA
+      428  #F8766D  0.3135859009 0.0021205292        <NA>     1     1    19  1.5   NA
+      429  #F8766D  0.4065726520 0.0021205292        <NA>     1     1    19  1.5   NA
+      430  #F8766D -0.2292063427 0.0021205292        <NA>     1     1    19  1.5   NA
+      431  #F8766D  0.2881987250 0.0021205292        <NA>     1     1    19  1.5   NA
+      432  #F8766D -0.2533990768 0.0021205292        <NA>     1     1    19  1.5   NA
+      433  #F8766D -0.2486274847 0.0021205292        <NA>     1     1    19  1.5   NA
+      434  #F8766D -0.2227077951 0.0021205292        <NA>     1     1    19  1.5   NA
+      435  #F8766D  0.2013973111 0.0021205292        <NA>     1     1    19  1.5   NA
+      436  #F8766D  0.2472142917 0.0021205292        <NA>     1     1    19  1.5   NA
+      437  #F8766D  0.1998149571 0.0021205292        <NA>     1     1    19  1.5   NA
+      438  #F8766D -0.4283699748 0.0021205292        <NA>     1     1    19  1.5   NA
+      439  #F8766D  0.4536491792 0.0021205292        <NA>     1     1    19  1.5   NA
+      440  #F8766D  0.2110490901 0.0021205292        <NA>     1     1    19  1.5   NA
+      441  #F8766D  0.3648493554 0.0021205292        <NA>     1     1    19  1.5   NA
+      442  #F8766D -0.8374915411 0.0021205292        <NA>     1     1    19  1.5   NA
+      443  #F8766D -0.2631779786 0.0021205292        <NA>     1     1    19  1.5   NA
+      444  #F8766D  0.4376837444 0.0021205292        <NA>     1     1    19  1.5   NA
+      445  #F8766D -0.2265976458 0.0021205292        <NA>     1     1    19  1.5   NA
+      446  #F8766D -0.3398872295 0.0021205292        <NA>     1     1    19  1.5   NA
+      447  #F8766D  0.3865085955 0.0021205292        <NA>     1     1    19  1.5   NA
+      448  #F8766D -0.2057371863 0.0021205292        <NA>     1     1    19  1.5   NA
+      449  #F8766D  0.4426914718 0.0021205292        <NA>     1     1    19  1.5   NA
+      450  #F8766D  0.6183710053 0.0021205292        <NA>     1     1    19  1.5   NA
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+      452  #F8766D -0.2161061630 0.0021205292        <NA>     1     1    19  1.5   NA
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+      457  #F8766D  0.2109441237 0.0021205292        <NA>     1     1    19  1.5   NA
+      458  #F8766D  0.2032687386 0.0021205292        <NA>     1     1    19  1.5   NA
+      459  #F8766D -0.2613335485 0.0021205292        <NA>     1     1    19  1.5   NA
+      460  #F8766D -0.3466747063 0.0021205292        <NA>     1     1    19  1.5   NA
+      461  #F8766D  0.1863006359 0.0021205292        <NA>     1     1    19  1.5   NA
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+      466  #F8766D -0.4208616426 0.0021205292        <NA>     1     1    19  1.5   NA
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+      511  #F8766D -0.1963774935 0.0021205292        <NA>     1     1    19  1.5   NA
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+      515  #F8766D  0.3626286036 0.0021205292        <NA>     1     1    19  1.5   NA
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+      517  #F8766D -0.1966040257 0.0021205292        <NA>     1     1    19  1.5   NA
+      518  #F8766D -0.1893996296 0.0021205292        <NA>     1     1    19  1.5   NA
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+      520  #F8766D  0.3911637220 0.0021205292        <NA>     1     1    19  1.5   NA
+      521  #F8766D -0.2163166947 0.0021205292        <NA>     1     1    19  1.5   NA
+      522  #F8766D  0.2330357390 0.0021205292        <NA>     1     1    19  1.5   NA
+      523  #F8766D  0.1765810086 0.0021205292        <NA>     1     1    19  1.5   NA
+      524  #F8766D  0.3076673390 0.0021205292        <NA>     1     1    19  1.5   NA
+      525  #F8766D -0.1862292966 0.0021205292        <NA>     1     1    19  1.5   NA
+      526  #F8766D  0.3096173349 0.0021205292        <NA>     1     1    19  1.5   NA
+      527  #F8766D  0.5288545606 0.0021205292        <NA>     1     1    19  1.5   NA
+      528  #F8766D  0.1874186941 0.0021205292        <NA>     1     1    19  1.5   NA
+      529  #F8766D  0.3449968868 0.0021205292        <NA>     1     1    19  1.5   NA
+      530  #F8766D  0.3061548619 0.0021205292        <NA>     1     1    19  1.5   NA
+      531  #F8766D -0.8040538809 0.0021205292        <NA>     1     1    19  1.5   NA
+      532  #F8766D -0.5070900065 0.0021205292        <NA>     1     1    19  1.5   NA
+      533  #F8766D -0.1660442095 0.0021205292        <NA>     1     1    19  1.5   NA
+      534  #F8766D  0.1678660708 0.0021205292        <NA>     1     1    19  1.5   NA
+      535  #F8766D -0.1642188451 0.0021205292        <NA>     1     1    19  1.5   NA
+      536  #F8766D -0.1805330451 0.0021205292        <NA>     1     1    19  1.5   NA
+      537  #F8766D  0.1911184090 0.0021205292        <NA>     1     1    19  1.5   NA
+      538  #F8766D  0.2914695507 0.0021205292        <NA>     1     1    19  1.5   NA
+      539  #F8766D  0.1963887698 0.0021205292        <NA>     1     1    19  1.5   NA
+      540  #F8766D  0.6780539125 0.0021205292        <NA>     1     1    19  1.5   NA
+      541  #F8766D  0.1882396720 0.0021205292        <NA>     1     1    19  1.5   NA
+      542  #F8766D  0.3070997340 0.0021205292        <NA>     1     1    19  1.5   NA
+      543  #F8766D -0.1909795699 0.0021205292        <NA>     1     1    19  1.5   NA
+      544  #F8766D  0.3165370062 0.0021205292        <NA>     1     1    19  1.5   NA
+      545  #F8766D  0.1722995623 0.0021205292        <NA>     1     1    19  1.5   NA
+      546  #F8766D -0.1663354699 0.0021205292        <NA>     1     1    19  1.5   NA
+      547  #F8766D -0.1857744508 0.0021205292        <NA>     1     1    19  1.5   NA
+      548  #F8766D -0.1802679540 0.0021205292        <NA>     1     1    19  1.5   NA
+      549  #F8766D -0.5271010630 0.0021205292        <NA>     1     1    19  1.5   NA
+      550  #F8766D -0.2031523575 0.0021205292        <NA>     1     1    19  1.5   NA
+      551  #F8766D  0.2623861531 0.0021205292        <NA>     1     1    19  1.5   NA
+      552  #F8766D  0.2502941753 0.0021205292        <NA>     1     1    19  1.5   NA
+      553  #F8766D  0.3137075187 0.0021205292        <NA>     1     1    19  1.5   NA
+      554  #F8766D -0.6289336675 0.0021205292        <NA>     1     1    19  1.5   NA
+      555  #F8766D  0.3159054698 0.0021205292        <NA>     1     1    19  1.5   NA
+      556  #F8766D -0.3679326362 0.0021205292        <NA>     1     1    19  1.5   NA
+      557  #F8766D -0.3402043028 0.0021205292        <NA>     1     1    19  1.5   NA
+      558  #F8766D  0.3531698438 0.0021205292        <NA>     1     1    19  1.5   NA
+      559  #F8766D -0.1705662597 0.0021205292        <NA>     1     1    19  1.5   NA
+      560  #F8766D -0.3723526053 0.0021205292        <NA>     1     1    19  1.5   NA
+      561  #F8766D -0.2963110948 0.0021205292        <NA>     1     1    19  1.5   NA
+      562  #F8766D  0.2082006032 0.0021205292        <NA>     1     1    19  1.5   NA
+      563  #F8766D  0.3529694513 0.0021205292        <NA>     1     1    19  1.5   NA
+      564  #F8766D -0.1508020004 0.0021205292        <NA>     1     1    19  1.5   NA
+      565  #F8766D -0.2707049190 0.0021205292        <NA>     1     1    19  1.5   NA
+      566  #F8766D  0.1629187178 0.0021205292        <NA>     1     1    19  1.5   NA
+      567  #F8766D -0.3271223763 0.0021205292        <NA>     1     1    19  1.5   NA
+      568  #F8766D -0.1410811870 0.0021205292        <NA>     1     1    19  1.5   NA
+      569  #F8766D  0.1644469589 0.0021205292        <NA>     1     1    19  1.5   NA
+      570  #F8766D  0.2003795214 0.0021205292        <NA>     1     1    19  1.5   NA
+      571  #F8766D  0.2835137077 0.0021205292        <NA>     1     1    19  1.5   NA
+      572  #F8766D  0.3280848382 0.0021205292        <NA>     1     1    19  1.5   NA
+      573  #F8766D -0.1576579494 0.0021205292        <NA>     1     1    19  1.5   NA
+      574  #F8766D -0.1539084116 0.0021205292        <NA>     1     1    19  1.5   NA
+      575  #F8766D  0.1590798076 0.0021205292        <NA>     1     1    19  1.5   NA
+      576  #F8766D -0.1403280937 0.0021205292        <NA>     1     1    19  1.5   NA
+      577  #F8766D  0.1645328970 0.0021205292        <NA>     1     1    19  1.5   NA
+      578  #F8766D  0.3364418091 0.0021205292        <NA>     1     1    19  1.5   NA
+      579  #F8766D  0.2448745977 0.0021205292        <NA>     1     1    19  1.5   NA
+      580  #F8766D -0.1493978033 0.0021205292        <NA>     1     1    19  1.5   NA
+      581  #F8766D -0.1447912451 0.0021205292        <NA>     1     1    19  1.5   NA
+      582  #F8766D -0.1558526720 0.0021205292        <NA>     1     1    19  1.5   NA
+      583  #F8766D -0.1584362582 0.0021205292        <NA>     1     1    19  1.5   NA
+      584  #F8766D  0.1469032309 0.0021205292        <NA>     1     1    19  1.5   NA
+      585  #F8766D -0.3022281976 0.0021205292        <NA>     1     1    19  1.5   NA
+      586  #F8766D  0.1739528123 0.0021205292        <NA>     1     1    19  1.5   NA
+      587  #F8766D  0.1489350268 0.0021205292        <NA>     1     1    19  1.5   NA
+      588  #F8766D  0.1643122858 0.0021205292        <NA>     1     1    19  1.5   NA
+      589  #F8766D -0.3521472941 0.0021205292        <NA>     1     1    19  1.5   NA
+      590  #F8766D  0.1662214693 0.0021205292        <NA>     1     1    19  1.5   NA
+      591  #F8766D -0.1562867212 0.0021205292        <NA>     1     1    19  1.5   NA
+      592  #F8766D -0.1671020630 0.0021205292        <NA>     1     1    19  1.5   NA
+      593  #F8766D  0.1582084809 0.0021205292        <NA>     1     1    19  1.5   NA
+      594  #F8766D  0.1627158259 0.0021205292        <NA>     1     1    19  1.5   NA
+      595  #F8766D -0.1726025401 0.0021205292        <NA>     1     1    19  1.5   NA
+      596  #F8766D  0.2520777233 0.0021205292        <NA>     1     1    19  1.5   NA
+      597  #F8766D -0.1558857775 0.0021205292        <NA>     1     1    19  1.5   NA
+      598  #F8766D  0.1819805448 0.0021205292        <NA>     1     1    19  1.5   NA
+      599  #F8766D -0.2740474758 0.0021205292        <NA>     1     1    19  1.5   NA
+      600  #F8766D -0.1485481458 0.0021205292        <NA>     1     1    19  1.5   NA
+      601  #F8766D -0.1655077936 0.0021205292        <NA>     1     1    19  1.5   NA
+      602  #F8766D -0.3987298337 0.0021205292        <NA>     1     1    19  1.5   NA
+      603  #F8766D -0.3620371093 0.0021205292        <NA>     1     1    19  1.5   NA
+      604  #F8766D -0.2993433980 0.0021205292        <NA>     1     1    19  1.5   NA
+      605  #F8766D  0.1509504374 0.0021205292        <NA>     1     1    19  1.5   NA
+      606  #F8766D  0.1624363813 0.0021205292        <NA>     1     1    19  1.5   NA
+      607  #F8766D -0.3427262955 0.0021205292        <NA>     1     1    19  1.5   NA
+      608  #F8766D  0.2585812673 0.0021205292        <NA>     1     1    19  1.5   NA
+      609  #F8766D -0.3829184833 0.0021205292        <NA>     1     1    19  1.5   NA
+      610  #F8766D  0.2598268865 0.0021205292        <NA>     1     1    19  1.5   NA
+      611  #F8766D -0.1577866082 0.0021205292        <NA>     1     1    19  1.5   NA
+      612  #F8766D  0.1421154003 0.0021205292        <NA>     1     1    19  1.5   NA
+      613  #F8766D -0.1443382123 0.0021205292        <NA>     1     1    19  1.5   NA
+      614  #F8766D -0.1444995933 0.0021205292        <NA>     1     1    19  1.5   NA
+      615  #F8766D  0.3923065448 0.0021205292        <NA>     1     1    19  1.5   NA
+      616  #F8766D -0.2565465824 0.0021205292        <NA>     1     1    19  1.5   NA
+      617  #F8766D -0.1404116565 0.0021205292        <NA>     1     1    19  1.5   NA
+      618  #F8766D -0.2063852509 0.0021205292        <NA>     1     1    19  1.5   NA
+      619  #F8766D  0.3448504335 0.0021205292        <NA>     1     1    19  1.5   NA
+      620  #F8766D  0.2722107129 0.0021205292        <NA>     1     1    19  1.5   NA
+      621  #F8766D -0.1375965889 0.0021205292        <NA>     1     1    19  1.5   NA
+      622  #F8766D  0.2562487556 0.0021205292        <NA>     1     1    19  1.5   NA
+      623  #F8766D  0.1391322479 0.0021205292        <NA>     1     1    19  1.5   NA
+      624  #F8766D -0.1979261876 0.0021205292        <NA>     1     1    19  1.5   NA
+      625  #F8766D  0.1270751021 0.0021205292        <NA>     1     1    19  1.5   NA
+      626  #F8766D -0.2099584898 0.0021205292        <NA>     1     1    19  1.5   NA
+      627  #F8766D -0.1355477754 0.0021205292        <NA>     1     1    19  1.5   NA
+      628  #F8766D  0.1436023807 0.0021205292        <NA>     1     1    19  1.5   NA
+      629  #F8766D -0.1464937200 0.0021205292        <NA>     1     1    19  1.5   NA
+      630  #F8766D  0.1648466483 0.0021205292        <NA>     1     1    19  1.5   NA
+      631  #F8766D  0.2266372699 0.0021205292        <NA>     1     1    19  1.5   NA
+      632  #F8766D  0.1174472855 0.0021205292        <NA>     1     1    19  1.5   NA
+      633  #F8766D -0.3110090353 0.0021205292        <NA>     1     1    19  1.5   NA
+      634  #F8766D  0.4528976494 0.0021205292        <NA>     1     1    19  1.5   NA
+      635  #F8766D  0.1513421923 0.0021205292        <NA>     1     1    19  1.5   NA
+      636  #F8766D  0.1585510344 0.0021205292        <NA>     1     1    19  1.5   NA
+      637  #F8766D -0.1313172890 0.0021205292        <NA>     1     1    19  1.5   NA
+      638  #F8766D -0.2073781767 0.0021205292        <NA>     1     1    19  1.5   NA
+      639  #F8766D -0.1386134382 0.0021205292        <NA>     1     1    19  1.5   NA
+      640  #F8766D  0.1306753392 0.0021205292        <NA>     1     1    19  1.5   NA
+      641  #F8766D -0.4261097440 0.0021205292        <NA>     1     1    19  1.5   NA
+      642  #F8766D  0.2122396659 0.0021205292        <NA>     1     1    19  1.5   NA
+      643  #F8766D  0.2303707981 0.0021205292        <NA>     1     1    19  1.5   NA
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+      645  #F8766D -0.1168206763 0.0021205292        <NA>     1     1    19  1.5   NA
+      646  #F8766D -0.1278698880 0.0021205292        <NA>     1     1    19  1.5   NA
+      647  #F8766D  0.2484768720 0.0021205292        <NA>     1     1    19  1.5   NA
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+      657  #F8766D -0.1514461020 0.0021205292        <NA>     1     1    19  1.5   NA
+      658  #F8766D -0.1276014407 0.0021205292        <NA>     1     1    19  1.5   NA
+      659  #F8766D  0.1387423123 0.0021205292        <NA>     1     1    19  1.5   NA
+      660  #F8766D  0.1369800355 0.0021205292        <NA>     1     1    19  1.5   NA
+      661  #F8766D -0.1372646688 0.0021205292        <NA>     1     1    19  1.5   NA
+      662  #F8766D -0.3834149777 0.0021205292        <NA>     1     1    19  1.5   NA
+      663  #F8766D -0.1336025384 0.0021205292        <NA>     1     1    19  1.5   NA
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+      665  #F8766D -0.1113981532 0.0021205292        <NA>     1     1    19  1.5   NA
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+      667  #F8766D  0.3781441180 0.0021205292        <NA>     1     1    19  1.5   NA
+      668  #F8766D -0.2316601933 0.0021205292        <NA>     1     1    19  1.5   NA
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+      685  #F8766D -0.1180521875 0.0021205292        <NA>     1     1    19  1.5   NA
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+      688  #F8766D  0.2055450678 0.0021205292        <NA>     1     1    19  1.5   NA
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+      715  #F8766D  0.1043824468 0.0021205292        <NA>     1     1    19  1.5   NA
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+      717  #F8766D -0.3423774218 0.0021205292        <NA>     1     1    19  1.5   NA
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+      719  #F8766D -0.1137393357 0.0021205292        <NA>     1     1    19  1.5   NA
+      720  #F8766D  0.4219475822 0.0021205292        <NA>     1     1    19  1.5   NA
+      721  #F8766D  0.0983130021 0.0021205292        <NA>     1     1    19  1.5   NA
+      722  #F8766D -0.1437199120 0.0021205292        <NA>     1     1    19  1.5   NA
+      723  #F8766D  0.2160903880 0.0021205292        <NA>     1     1    19  1.5   NA
+      724  #F8766D  0.0963915761 0.0021205292        <NA>     1     1    19  1.5   NA
+      725  #F8766D -0.2177029761 0.0021205292        <NA>     1     1    19  1.5   NA
+      726  #F8766D  0.0948389376 0.0021205292        <NA>     1     1    19  1.5   NA
+      727  #F8766D -0.1176981727 0.0021205292        <NA>     1     1    19  1.5   NA
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+      729  #F8766D  0.1849795781 0.0021205292        <NA>     1     1    19  1.5   NA
+      730  #F8766D  0.1768664586 0.0021205292        <NA>     1     1    19  1.5   NA
+      731  #F8766D -0.1076761404 0.0021205292        <NA>     1     1    19  1.5   NA
+      732  #F8766D -0.0894660904 0.0021205292        <NA>     1     1    19  1.5   NA
+      733  #F8766D  0.1031784033 0.0021205292        <NA>     1     1    19  1.5   NA
+      734  #F8766D  0.1761504299 0.0021205292        <NA>     1     1    19  1.5   NA
+      735  #F8766D  0.2164357528 0.0021205292        <NA>     1     1    19  1.5   NA
+      736  #F8766D -0.1958538563 0.0021205292        <NA>     1     1    19  1.5   NA
+      737  #F8766D -0.0891898481 0.0021205292        <NA>     1     1    19  1.5   NA
+      738  #F8766D -0.1555460747 0.0021205292        <NA>     1     1    19  1.5   NA
+      739  #F8766D -0.3050457371 0.0021205292        <NA>     1     1    19  1.5   NA
+      740  #F8766D -0.1603878305 0.0021205292        <NA>     1     1    19  1.5   NA
+      741  #F8766D -0.2650399619 0.0021205292        <NA>     1     1    19  1.5   NA
+      742  #F8766D -0.0965032565 0.0021205292        <NA>     1     1    19  1.5   NA
+      743  #F8766D  0.1736872318 0.0021205292        <NA>     1     1    19  1.5   NA
+      744  #F8766D  0.0969998303 0.0021205292        <NA>     1     1    19  1.5   NA
+      745  #F8766D -0.1507145088 0.0021205292        <NA>     1     1    19  1.5   NA
+      746  #F8766D  0.2290330440 0.0021205292        <NA>     1     1    19  1.5   NA
+      747  #F8766D  0.1507078400 0.0021205292        <NA>     1     1    19  1.5   NA
+      748  #F8766D -0.0958640030 0.0021205292        <NA>     1     1    19  1.5   NA
+      749  #F8766D  0.0935705421 0.0021205292        <NA>     1     1    19  1.5   NA
+      750  #F8766D  0.0986783552 0.0021205292        <NA>     1     1    19  1.5   NA
+      751  #F8766D -0.0976548550 0.0021205292        <NA>     1     1    19  1.5   NA
+      752  #F8766D  0.0891638654 0.0021205292        <NA>     1     1    19  1.5   NA
+      753  #F8766D  0.0909061982 0.0021205292        <NA>     1     1    19  1.5   NA
+      754  #F8766D -0.1117476811 0.0021205292        <NA>     1     1    19  1.5   NA
+      755  #F8766D -0.0960389399 0.0021205292        <NA>     1     1    19  1.5   NA
+      756  #F8766D  0.1154393946 0.0021205292        <NA>     1     1    19  1.5   NA
+      757  #F8766D  0.0974787296 0.0021205292        <NA>     1     1    19  1.5   NA
+      758  #F8766D -0.0941529167 0.0021205292        <NA>     1     1    19  1.5   NA
+      759  #F8766D  0.0835393988 0.0021205292        <NA>     1     1    19  1.5   NA
+      760  #F8766D -0.2409418528 0.0021205292        <NA>     1     1    19  1.5   NA
+      761  #F8766D -0.1139505407 0.0021205292        <NA>     1     1    19  1.5   NA
+      762  #F8766D  0.0931799450 0.0021205292        <NA>     1     1    19  1.5   NA
+      763  #F8766D  0.1741683955 0.0021205292        <NA>     1     1    19  1.5   NA
+      764  #F8766D -0.0988583415 0.0021205292        <NA>     1     1    19  1.5   NA
+      765  #F8766D  0.0762705505 0.0021205292        <NA>     1     1    19  1.5   NA
+      766  #F8766D -0.0864541447 0.0021205292        <NA>     1     1    19  1.5   NA
+      767  #F8766D -0.1446895232 0.0021205292        <NA>     1     1    19  1.5   NA
+      768  #F8766D  0.1651605665 0.0021205292        <NA>     1     1    19  1.5   NA
+      769  #F8766D -0.1410033212 0.0021205292        <NA>     1     1    19  1.5   NA
+      770  #F8766D  0.0793807952 0.0021205292        <NA>     1     1    19  1.5   NA
+      771  #F8766D  0.0901890069 0.0021205292        <NA>     1     1    19  1.5   NA
+      772  #F8766D  0.1138312698 0.0021205292        <NA>     1     1    19  1.5   NA
+      773  #F8766D  0.0887441285 0.0021205292        <NA>     1     1    19  1.5   NA
+      774  #F8766D -0.0895067691 0.0021205292        <NA>     1     1    19  1.5   NA
+      775  #F8766D  0.0773860460 0.0021205292        <NA>     1     1    19  1.5   NA
+      776  #F8766D  0.1691571568 0.0021205292        <NA>     1     1    19  1.5   NA
+      777  #F8766D  0.1005373841 0.0021205292        <NA>     1     1    19  1.5   NA
+      778  #F8766D -0.1396078094 0.0021205292        <NA>     1     1    19  1.5   NA
+      779  #F8766D  0.1475717262 0.0021205292        <NA>     1     1    19  1.5   NA
+      780  #F8766D  0.1651526975 0.0021205292        <NA>     1     1    19  1.5   NA
+      781  #F8766D  0.1323746339 0.0021205292        <NA>     1     1    19  1.5   NA
+      782  #F8766D  0.0793807097 0.0021205292        <NA>     1     1    19  1.5   NA
+      783  #F8766D -0.1784289866 0.0021205292        <NA>     1     1    19  1.5   NA
+      784  #F8766D -0.1274328795 0.0021205292        <NA>     1     1    19  1.5   NA
+      785  #F8766D  0.0741071465 0.0021205292        <NA>     1     1    19  1.5   NA
+      786  #F8766D  0.1341253631 0.0021205292        <NA>     1     1    19  1.5   NA
+      787  #F8766D  0.0709215911 0.0021205292        <NA>     1     1    19  1.5   NA
+      788  #F8766D  0.0734128620 0.0021205292        <NA>     1     1    19  1.5   NA
+      789  #F8766D  0.1338574669 0.0021205292        <NA>     1     1    19  1.5   NA
+      790  #F8766D -0.0785810985 0.0021205292        <NA>     1     1    19  1.5   NA
+      791  #F8766D  0.0788373390 0.0021205292        <NA>     1     1    19  1.5   NA
+      792  #F8766D -0.1147049732 0.0021205292        <NA>     1     1    19  1.5   NA
+      793  #F8766D  0.0806022074 0.0021205292        <NA>     1     1    19  1.5   NA
+      794  #F8766D -0.1280701844 0.0021205292        <NA>     1     1    19  1.5   NA
+      795  #F8766D  0.1387919817 0.0021205292        <NA>     1     1    19  1.5   NA
+      796  #F8766D -0.1328880681 0.0021205292        <NA>     1     1    19  1.5   NA
+      797  #F8766D  0.0947664377 0.0021205292        <NA>     1     1    19  1.5   NA
+      798  #F8766D  0.0741395571 0.0021205292        <NA>     1     1    19  1.5   NA
+      799  #F8766D -0.1257973220 0.0021205292        <NA>     1     1    19  1.5   NA
+      800  #F8766D -0.0760130294 0.0021205292        <NA>     1     1    19  1.5   NA
+      801  #F8766D  0.1307075542 0.0021205292        <NA>     1     1    19  1.5   NA
+      802  #F8766D  0.1866296501 0.0021205292        <NA>     1     1    19  1.5   NA
+      803  #F8766D -0.0670291358 0.0021205292        <NA>     1     1    19  1.5   NA
+      804  #F8766D  0.1280532999 0.0021205292        <NA>     1     1    19  1.5   NA
+      805  #F8766D -0.3175155187 0.0021205292        <NA>     1     1    19  1.5   NA
+      806  #F8766D  0.1146118370 0.0021205292        <NA>     1     1    19  1.5   NA
+      807  #F8766D  0.1417930995 0.0021205292        <NA>     1     1    19  1.5   NA
+      808  #F8766D  0.0647804858 0.0021205292        <NA>     1     1    19  1.5   NA
+      809  #F8766D -0.0660281188 0.0021205292        <NA>     1     1    19  1.5   NA
+      810  #F8766D -0.0663936934 0.0021205292        <NA>     1     1    19  1.5   NA
+      811  #F8766D  0.0753747097 0.0021205292        <NA>     1     1    19  1.5   NA
+      812  #F8766D  0.1142480179 0.0021205292        <NA>     1     1    19  1.5   NA
+      813  #F8766D -0.0695271693 0.0021205292        <NA>     1     1    19  1.5   NA
+      814  #F8766D  0.0705930490 0.0021205292        <NA>     1     1    19  1.5   NA
+      815  #F8766D -0.0687451054 0.0021205292        <NA>     1     1    19  1.5   NA
+      816  #F8766D  0.0736944138 0.0021205292        <NA>     1     1    19  1.5   NA
+      817  #F8766D  0.0603303759 0.0021205292        <NA>     1     1    19  1.5   NA
+      818  #F8766D  0.1165853770 0.0021205292        <NA>     1     1    19  1.5   NA
+      819  #F8766D -0.0625678560 0.0021205292        <NA>     1     1    19  1.5   NA
+      820  #F8766D  0.1932362750 0.0021205292        <NA>     1     1    19  1.5   NA
+      821  #F8766D  0.0590758782 0.0021205292        <NA>     1     1    19  1.5   NA
+      822  #F8766D -0.0760540722 0.0021205292        <NA>     1     1    19  1.5   NA
+      823  #F8766D  0.0668699875 0.0021205292        <NA>     1     1    19  1.5   NA
+      824  #F8766D  0.0653126334 0.0021205292        <NA>     1     1    19  1.5   NA
+      825  #F8766D -0.0700145882 0.0021205292        <NA>     1     1    19  1.5   NA
+      826  #F8766D  0.1222089381 0.0021205292        <NA>     1     1    19  1.5   NA
+      827  #F8766D  0.1060335846 0.0021205292        <NA>     1     1    19  1.5   NA
+      828  #F8766D  0.0710110560 0.0021205292        <NA>     1     1    19  1.5   NA
+      829  #F8766D -0.1083755249 0.0021205292        <NA>     1     1    19  1.5   NA
+      830  #F8766D -0.0982783236 0.0021205292        <NA>     1     1    19  1.5   NA
+      831  #F8766D -0.1037827163 0.0021205292        <NA>     1     1    19  1.5   NA
+      832  #F8766D -0.0563115845 0.0021205292        <NA>     1     1    19  1.5   NA
+      833  #F8766D -0.0604577743 0.0021205292        <NA>     1     1    19  1.5   NA
+      834  #F8766D  0.1685521738 0.0021205292        <NA>     1     1    19  1.5   NA
+      835  #F8766D -0.0572263550 0.0021205292        <NA>     1     1    19  1.5   NA
+      836  #F8766D  0.0536394649 0.0021205292        <NA>     1     1    19  1.5   NA
+      837  #F8766D  0.0575017434 0.0021205292        <NA>     1     1    19  1.5   NA
+      838  #F8766D  0.0896542573 0.0021205292        <NA>     1     1    19  1.5   NA
+      839  #F8766D -0.0688024680 0.0021205292        <NA>     1     1    19  1.5   NA
+      840  #F8766D  0.0556690225 0.0021205292        <NA>     1     1    19  1.5   NA
+      841  #F8766D  0.0530405741 0.0021205292        <NA>     1     1    19  1.5   NA
+      842  #F8766D  0.0563199592 0.0021205292        <NA>     1     1    19  1.5   NA
+      843  #F8766D -0.0693782794 0.0021205292        <NA>     1     1    19  1.5   NA
+      844  #F8766D  0.0534827987 0.0021205292        <NA>     1     1    19  1.5   NA
+      845  #F8766D -0.0589335814 0.0021205292        <NA>     1     1    19  1.5   NA
+      846  #F8766D -0.0551522889 0.0021205292        <NA>     1     1    19  1.5   NA
+      847  #F8766D  0.0555197212 0.0021205292        <NA>     1     1    19  1.5   NA
+      848  #F8766D -0.3070298167 0.0021205292        <NA>     1     1    19  1.5   NA
+      849  #F8766D  0.0512459575 0.0021205292        <NA>     1     1    19  1.5   NA
+      850  #F8766D  0.0964633343 0.0021205292        <NA>     1     1    19  1.5   NA
+      851  #F8766D -0.0534780797 0.0021205292        <NA>     1     1    19  1.5   NA
+      852  #F8766D -0.1562307213 0.0021205292        <NA>     1     1    19  1.5   NA
+      853  #F8766D  0.0493086515 0.0021205292        <NA>     1     1    19  1.5   NA
+      854  #F8766D -0.0659017153 0.0021205292        <NA>     1     1    19  1.5   NA
+      855  #F8766D  0.0556383447 0.0021205292        <NA>     1     1    19  1.5   NA
+      856  #F8766D  0.0666844001 0.0021205292        <NA>     1     1    19  1.5   NA
+      857  #F8766D  0.0479604493 0.0021205292        <NA>     1     1    19  1.5   NA
+      858  #F8766D  0.0492552864 0.0021205292        <NA>     1     1    19  1.5   NA
+      859  #F8766D -0.0540338349 0.0021205292        <NA>     1     1    19  1.5   NA
+      860  #F8766D -0.0552456271 0.0021205292        <NA>     1     1    19  1.5   NA
+      861  #F8766D  0.0594935859 0.0021205292        <NA>     1     1    19  1.5   NA
+      862  #F8766D  0.0502853689 0.0021205292        <NA>     1     1    19  1.5   NA
+      863  #F8766D  0.0840779930 0.0021205292        <NA>     1     1    19  1.5   NA
+      864  #F8766D  0.1641085112 0.0021205292        <NA>     1     1    19  1.5   NA
+      865  #F8766D  0.0456071670 0.0021205292        <NA>     1     1    19  1.5   NA
+      866  #F8766D  0.0557988684 0.0021205292        <NA>     1     1    19  1.5   NA
+      867  #F8766D -0.0838182578 0.0021205292        <NA>     1     1    19  1.5   NA
+      868  #F8766D  0.0614253690 0.0021205292        <NA>     1     1    19  1.5   NA
+      869  #F8766D -0.0531671695 0.0021205292        <NA>     1     1    19  1.5   NA
+      870  #F8766D  0.0493810519 0.0021205292        <NA>     1     1    19  1.5   NA
+      871  #F8766D  0.0420646831 0.0021205292        <NA>     1     1    19  1.5   NA
+      872  #F8766D -0.1027994914 0.0021205292        <NA>     1     1    19  1.5   NA
+      873  #F8766D -0.0438392986 0.0021205292        <NA>     1     1    19  1.5   NA
+      874  #F8766D -0.1441591245 0.0021205292        <NA>     1     1    19  1.5   NA
+      875  #F8766D  0.0936004710 0.0021205292        <NA>     1     1    19  1.5   NA
+      876  #F8766D -0.1264959838 0.0021205292        <NA>     1     1    19  1.5   NA
+      877  #F8766D  0.0715737519 0.0021205292        <NA>     1     1    19  1.5   NA
+      878  #F8766D  0.0660657820 0.0021205292        <NA>     1     1    19  1.5   NA
+      879  #F8766D  0.0445552549 0.0021205292        <NA>     1     1    19  1.5   NA
+      880  #F8766D -0.0467331309 0.0021205292        <NA>     1     1    19  1.5   NA
+      881  #F8766D -0.0964685144 0.0021205292        <NA>     1     1    19  1.5   NA
+      882  #F8766D  0.0366777378 0.0021205292        <NA>     1     1    19  1.5   NA
+      883  #F8766D -0.0719719496 0.0021205292        <NA>     1     1    19  1.5   NA
+      884  #F8766D -0.0362226473 0.0021205292        <NA>     1     1    19  1.5   NA
+      885  #F8766D -0.0411197243 0.0021205292        <NA>     1     1    19  1.5   NA
+      886  #F8766D  0.0723366582 0.0021205292        <NA>     1     1    19  1.5   NA
+      887  #F8766D  0.0433963664 0.0021205292        <NA>     1     1    19  1.5   NA
+      888  #F8766D -0.0416232166 0.0021205292        <NA>     1     1    19  1.5   NA
+      889  #F8766D -0.0686382005 0.0021205292        <NA>     1     1    19  1.5   NA
+      890  #F8766D -0.0379761836 0.0021205292        <NA>     1     1    19  1.5   NA
+      891  #F8766D  0.0408156030 0.0021205292        <NA>     1     1    19  1.5   NA
+      892  #F8766D -0.0390167599 0.0021205292        <NA>     1     1    19  1.5   NA
+      893  #F8766D -0.0382459696 0.0021205292        <NA>     1     1    19  1.5   NA
+      894  #F8766D  0.0577964419 0.0021205292        <NA>     1     1    19  1.5   NA
+      895  #F8766D -0.0396662557 0.0021205292        <NA>     1     1    19  1.5   NA
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+      897  #F8766D  0.0688186421 0.0021205292        <NA>     1     1    19  1.5   NA
+      898  #F8766D -0.0482017294 0.0021205292        <NA>     1     1    19  1.5   NA
+      899  #F8766D -0.0336265430 0.0021205292        <NA>     1     1    19  1.5   NA
+      900  #F8766D  0.0338695082 0.0021205292        <NA>     1     1    19  1.5   NA
+      901  #F8766D  0.0595494630 0.0021205292        <NA>     1     1    19  1.5   NA
+      902  #F8766D -0.0631153089 0.0021205292        <NA>     1     1    19  1.5   NA
+      903  #F8766D  0.0805217632 0.0021205292        <NA>     1     1    19  1.5   NA
+      904  #F8766D  0.0333069459 0.0021205292        <NA>     1     1    19  1.5   NA
+      905  #F8766D  0.0656327966 0.0021205292        <NA>     1     1    19  1.5   NA
+      906  #F8766D -0.0333675045 0.0021205292        <NA>     1     1    19  1.5   NA
+      907  #F8766D  0.0400244492 0.0021205292        <NA>     1     1    19  1.5   NA
+      908  #F8766D -0.0317409058 0.0021205292        <NA>     1     1    19  1.5   NA
+      909  #F8766D  0.0373372007 0.0021205292        <NA>     1     1    19  1.5   NA
+      910  #F8766D  0.0352136125 0.0021205292        <NA>     1     1    19  1.5   NA
+      911  #F8766D  0.0329178311 0.0021205292        <NA>     1     1    19  1.5   NA
+      912  #F8766D -0.0525865529 0.0021205292        <NA>     1     1    19  1.5   NA
+      913  #F8766D -0.0327414191 0.0021205292        <NA>     1     1    19  1.5   NA
+      914  #F8766D  0.0583344815 0.0021205292        <NA>     1     1    19  1.5   NA
+      915  #F8766D -0.0274704273 0.0021205292        <NA>     1     1    19  1.5   NA
+      916  #F8766D  0.0277857965 0.0021205292        <NA>     1     1    19  1.5   NA
+      917  #F8766D  0.0330327897 0.0021205292        <NA>     1     1    19  1.5   NA
+      918  #F8766D -0.0290578456 0.0021205292        <NA>     1     1    19  1.5   NA
+      919  #F8766D -0.0310774934 0.0021205292        <NA>     1     1    19  1.5   NA
+      920  #F8766D  0.0277849434 0.0021205292        <NA>     1     1    19  1.5   NA
+      921  #F8766D  0.0271649093 0.0021205292        <NA>     1     1    19  1.5   NA
+      922  #F8766D  0.0326730732 0.0021205292        <NA>     1     1    19  1.5   NA
+      923  #F8766D -0.0308633324 0.0021205292        <NA>     1     1    19  1.5   NA
+      924  #F8766D  0.0435288689 0.0021205292        <NA>     1     1    19  1.5   NA
+      925  #F8766D -0.0462404136 0.0021205292        <NA>     1     1    19  1.5   NA
+      926  #F8766D -0.0434756905 0.0021205292        <NA>     1     1    19  1.5   NA
+      927  #F8766D  0.0281258711 0.0021205292        <NA>     1     1    19  1.5   NA
+      928  #F8766D -0.0258330167 0.0021205292        <NA>     1     1    19  1.5   NA
+      929  #F8766D -0.0570153076 0.0021205292        <NA>     1     1    19  1.5   NA
+      930  #F8766D -0.0249357314 0.0021205292        <NA>     1     1    19  1.5   NA
+      931  #F8766D  0.0249339630 0.0021205292        <NA>     1     1    19  1.5   NA
+      932  #F8766D  0.0288366523 0.0021205292        <NA>     1     1    19  1.5   NA
+      933  #F8766D -0.0530695816 0.0021205292        <NA>     1     1    19  1.5   NA
+      934  #F8766D -0.0226929515 0.0021205292        <NA>     1     1    19  1.5   NA
+      935  #F8766D -0.0227843898 0.0021205292        <NA>     1     1    19  1.5   NA
+      936  #F8766D -0.0364819327 0.0021205292        <NA>     1     1    19  1.5   NA
+      937  #F8766D -0.0240117505 0.0021205292        <NA>     1     1    19  1.5   NA
+      938  #F8766D  0.0419567795 0.0021205292        <NA>     1     1    19  1.5   NA
+      939  #F8766D -0.0344238837 0.0021205292        <NA>     1     1    19  1.5   NA
+      940  #F8766D -0.0431360262 0.0021205292        <NA>     1     1    19  1.5   NA
+      941  #F8766D -0.0422427785 0.0021205292        <NA>     1     1    19  1.5   NA
+      942  #F8766D  0.0326342308 0.0021205292        <NA>     1     1    19  1.5   NA
+      943  #F8766D -0.0234082297 0.0021205292        <NA>     1     1    19  1.5   NA
+      944  #F8766D  0.0228532792 0.0021205292        <NA>     1     1    19  1.5   NA
+      945  #F8766D  0.0328665526 0.0021205292        <NA>     1     1    19  1.5   NA
+      946  #F8766D  0.0355332348 0.0021205292        <NA>     1     1    19  1.5   NA
+      947  #F8766D  0.0389378265 0.0021205292        <NA>     1     1    19  1.5   NA
+      948  #F8766D  0.0511151643 0.0021205292        <NA>     1     1    19  1.5   NA
+      949  #F8766D -0.0270891456 0.0021205292        <NA>     1     1    19  1.5   NA
+      950  #F8766D -0.0234633308 0.0021205292        <NA>     1     1    19  1.5   NA
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+      952  #F8766D  0.0206757860 0.0021205292        <NA>     1     1    19  1.5   NA
+      953  #F8766D -0.0432893944 0.0021205292        <NA>     1     1    19  1.5   NA
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+      959  #F8766D -0.0142192298 0.0021205292        <NA>     1     1    19  1.5   NA
+      960  #F8766D -0.0144487219 0.0021205292        <NA>     1     1    19  1.5   NA
+      961  #F8766D -0.0134298964 0.0021205292        <NA>     1     1    19  1.5   NA
+      962  #F8766D -0.0141461301 0.0021205292        <NA>     1     1    19  1.5   NA
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+      964  #F8766D -0.0123957334 0.0021205292        <NA>     1     1    19  1.5   NA
+      965  #F8766D -0.0200743958 0.0021205292        <NA>     1     1    19  1.5   NA
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+      971  #F8766D -0.0204547679 0.0021205292        <NA>     1     1    19  1.5   NA
+      972  #F8766D -0.0112293660 0.0021205292        <NA>     1     1    19  1.5   NA
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+      974  #F8766D -0.0106715323 0.0021205292        <NA>     1     1    19  1.5   NA
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+      976  #F8766D -0.0087834917 0.0021205292        <NA>     1     1    19  1.5   NA
+      977  #F8766D -0.0098583861 0.0021205292        <NA>     1     1    19  1.5   NA
+      978  #F8766D -0.0095176014 0.0021205292        <NA>     1     1    19  1.5   NA
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+      980  #F8766D  0.0086299373 0.0021205292        <NA>     1     1    19  1.5   NA
+      981  #F8766D -0.0136128661 0.0021205292        <NA>     1     1    19  1.5   NA
+      982  #F8766D -0.0082929052 0.0021205292        <NA>     1     1    19  1.5   NA
+      983  #F8766D  0.0095664359 0.0021205292        <NA>     1     1    19  1.5   NA
+      984  #F8766D  0.0079609180 0.0021205292        <NA>     1     1    19  1.5   NA
+      985  #F8766D  0.0074179505 0.0021205292        <NA>     1     1    19  1.5   NA
+      986  #F8766D  0.0132957273 0.0021205292        <NA>     1     1    19  1.5   NA
+      987  #F8766D  0.0129032560 0.0021205292        <NA>     1     1    19  1.5   NA
+      988  #F8766D  0.0209055313 0.0019935082        <NA>     1     1    19  1.5   NA
+      989  #F8766D -0.0067606908 0.0013500512        <NA>     1     1    19  1.5   NA
+      990  #F8766D  0.0049070760 0.0005004092        <NA>     1     1    19  1.5   NA
+      991  #F8766D  0.0042891825 0.0005004092        <NA>     1     1    19  1.5   NA
+      992  #F8766D  0.0041536442 0.0005004092        <NA>     1     1    19  1.5   NA
+      993  #F8766D  0.0050447562 0.0005004092        <NA>     1     1    19  1.5   NA
+      994  #F8766D -0.0053582537 0.0005004092        <NA>     1     1    19  1.5   NA
+      995  #F8766D -0.0040730659 0.0005004092        <NA>     1     1    19  1.5   NA
+      996  #F8766D  0.0014456553 0.0002410797        <NA>     1     1    19  1.5   NA
+      997  #F8766D -0.0005813889 0.0002410797        <NA>     1     1    19  1.5   NA
+      998  #F8766D  0.0004305816 0.0002410797        <NA>     1     1    19  1.5   NA
+      999  #F8766D -0.0003806317 0.0002410797        <NA>     1     1    19  1.5   NA
+      1000 #F8766D -0.0004169929 0.0002410797        <NA>     1     1    19  1.5   NA
+           alpha stroke
+      1       NA    0.5
+      2       NA    0.5
+      3       NA    0.5
+      4       NA    0.5
+      5       NA    0.5
+      6       NA    0.5
+      7       NA    0.5
+      8       NA    0.5
+      9       NA    0.5
+      10      NA    0.5
+      11      NA    0.5
+      12      NA    0.5
+      13      NA    0.5
+      14      NA    0.5
+      15      NA    0.5
+      16      NA    0.5
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+      476     NA    0.5
+      477     NA    0.5
+      478     NA    0.5
+      479     NA    0.5
+      480     NA    0.5
+      481     NA    0.5
+      482     NA    0.5
+      483     NA    0.5
+      484     NA    0.5
+      485     NA    0.5
+      486     NA    0.5
+      487     NA    0.5
+      488     NA    0.5
+      489     NA    0.5
+      490     NA    0.5
+      491     NA    0.5
+      492     NA    0.5
+      493     NA    0.5
+      494     NA    0.5
+      495     NA    0.5
+      496     NA    0.5
+      497     NA    0.5
+      498     NA    0.5
+      499     NA    0.5
+      500     NA    0.5
+      501     NA    0.5
+      502     NA    0.5
+      503     NA    0.5
+      504     NA    0.5
+      505     NA    0.5
+      506     NA    0.5
+      507     NA    0.5
+      508     NA    0.5
+      509     NA    0.5
+      510     NA    0.5
+      511     NA    0.5
+      512     NA    0.5
+      513     NA    0.5
+      514     NA    0.5
+      515     NA    0.5
+      516     NA    0.5
+      517     NA    0.5
+      518     NA    0.5
+      519     NA    0.5
+      520     NA    0.5
+      521     NA    0.5
+      522     NA    0.5
+      523     NA    0.5
+      524     NA    0.5
+      525     NA    0.5
+      526     NA    0.5
+      527     NA    0.5
+      528     NA    0.5
+      529     NA    0.5
+      530     NA    0.5
+      531     NA    0.5
+      532     NA    0.5
+      533     NA    0.5
+      534     NA    0.5
+      535     NA    0.5
+      536     NA    0.5
+      537     NA    0.5
+      538     NA    0.5
+      539     NA    0.5
+      540     NA    0.5
+      541     NA    0.5
+      542     NA    0.5
+      543     NA    0.5
+      544     NA    0.5
+      545     NA    0.5
+      546     NA    0.5
+      547     NA    0.5
+      548     NA    0.5
+      549     NA    0.5
+      550     NA    0.5
+      551     NA    0.5
+      552     NA    0.5
+      553     NA    0.5
+      554     NA    0.5
+      555     NA    0.5
+      556     NA    0.5
+      557     NA    0.5
+      558     NA    0.5
+      559     NA    0.5
+      560     NA    0.5
+      561     NA    0.5
+      562     NA    0.5
+      563     NA    0.5
+      564     NA    0.5
+      565     NA    0.5
+      566     NA    0.5
+      567     NA    0.5
+      568     NA    0.5
+      569     NA    0.5
+      570     NA    0.5
+      571     NA    0.5
+      572     NA    0.5
+      573     NA    0.5
+      574     NA    0.5
+      575     NA    0.5
+      576     NA    0.5
+      577     NA    0.5
+      578     NA    0.5
+      579     NA    0.5
+      580     NA    0.5
+      581     NA    0.5
+      582     NA    0.5
+      583     NA    0.5
+      584     NA    0.5
+      585     NA    0.5
+      586     NA    0.5
+      587     NA    0.5
+      588     NA    0.5
+      589     NA    0.5
+      590     NA    0.5
+      591     NA    0.5
+      592     NA    0.5
+      593     NA    0.5
+      594     NA    0.5
+      595     NA    0.5
+      596     NA    0.5
+      597     NA    0.5
+      598     NA    0.5
+      599     NA    0.5
+      600     NA    0.5
+      601     NA    0.5
+      602     NA    0.5
+      603     NA    0.5
+      604     NA    0.5
+      605     NA    0.5
+      606     NA    0.5
+      607     NA    0.5
+      608     NA    0.5
+      609     NA    0.5
+      610     NA    0.5
+      611     NA    0.5
+      612     NA    0.5
+      613     NA    0.5
+      614     NA    0.5
+      615     NA    0.5
+      616     NA    0.5
+      617     NA    0.5
+      618     NA    0.5
+      619     NA    0.5
+      620     NA    0.5
+      621     NA    0.5
+      622     NA    0.5
+      623     NA    0.5
+      624     NA    0.5
+      625     NA    0.5
+      626     NA    0.5
+      627     NA    0.5
+      628     NA    0.5
+      629     NA    0.5
+      630     NA    0.5
+      631     NA    0.5
+      632     NA    0.5
+      633     NA    0.5
+      634     NA    0.5
+      635     NA    0.5
+      636     NA    0.5
+      637     NA    0.5
+      638     NA    0.5
+      639     NA    0.5
+      640     NA    0.5
+      641     NA    0.5
+      642     NA    0.5
+      643     NA    0.5
+      644     NA    0.5
+      645     NA    0.5
+      646     NA    0.5
+      647     NA    0.5
+      648     NA    0.5
+      649     NA    0.5
+      650     NA    0.5
+      651     NA    0.5
+      652     NA    0.5
+      653     NA    0.5
+      654     NA    0.5
+      655     NA    0.5
+      656     NA    0.5
+      657     NA    0.5
+      658     NA    0.5
+      659     NA    0.5
+      660     NA    0.5
+      661     NA    0.5
+      662     NA    0.5
+      663     NA    0.5
+      664     NA    0.5
+      665     NA    0.5
+      666     NA    0.5
+      667     NA    0.5
+      668     NA    0.5
+      669     NA    0.5
+      670     NA    0.5
+      671     NA    0.5
+      672     NA    0.5
+      673     NA    0.5
+      674     NA    0.5
+      675     NA    0.5
+      676     NA    0.5
+      677     NA    0.5
+      678     NA    0.5
+      679     NA    0.5
+      680     NA    0.5
+      681     NA    0.5
+      682     NA    0.5
+      683     NA    0.5
+      684     NA    0.5
+      685     NA    0.5
+      686     NA    0.5
+      687     NA    0.5
+      688     NA    0.5
+      689     NA    0.5
+      690     NA    0.5
+      691     NA    0.5
+      692     NA    0.5
+      693     NA    0.5
+      694     NA    0.5
+      695     NA    0.5
+      696     NA    0.5
+      697     NA    0.5
+      698     NA    0.5
+      699     NA    0.5
+      700     NA    0.5
+      701     NA    0.5
+      702     NA    0.5
+      703     NA    0.5
+      704     NA    0.5
+      705     NA    0.5
+      706     NA    0.5
+      707     NA    0.5
+      708     NA    0.5
+      709     NA    0.5
+      710     NA    0.5
+      711     NA    0.5
+      712     NA    0.5
+      713     NA    0.5
+      714     NA    0.5
+      715     NA    0.5
+      716     NA    0.5
+      717     NA    0.5
+      718     NA    0.5
+      719     NA    0.5
+      720     NA    0.5
+      721     NA    0.5
+      722     NA    0.5
+      723     NA    0.5
+      724     NA    0.5
+      725     NA    0.5
+      726     NA    0.5
+      727     NA    0.5
+      728     NA    0.5
+      729     NA    0.5
+      730     NA    0.5
+      731     NA    0.5
+      732     NA    0.5
+      733     NA    0.5
+      734     NA    0.5
+      735     NA    0.5
+      736     NA    0.5
+      737     NA    0.5
+      738     NA    0.5
+      739     NA    0.5
+      740     NA    0.5
+      741     NA    0.5
+      742     NA    0.5
+      743     NA    0.5
+      744     NA    0.5
+      745     NA    0.5
+      746     NA    0.5
+      747     NA    0.5
+      748     NA    0.5
+      749     NA    0.5
+      750     NA    0.5
+      751     NA    0.5
+      752     NA    0.5
+      753     NA    0.5
+      754     NA    0.5
+      755     NA    0.5
+      756     NA    0.5
+      757     NA    0.5
+      758     NA    0.5
+      759     NA    0.5
+      760     NA    0.5
+      761     NA    0.5
+      762     NA    0.5
+      763     NA    0.5
+      764     NA    0.5
+      765     NA    0.5
+      766     NA    0.5
+      767     NA    0.5
+      768     NA    0.5
+      769     NA    0.5
+      770     NA    0.5
+      771     NA    0.5
+      772     NA    0.5
+      773     NA    0.5
+      774     NA    0.5
+      775     NA    0.5
+      776     NA    0.5
+      777     NA    0.5
+      778     NA    0.5
+      779     NA    0.5
+      780     NA    0.5
+      781     NA    0.5
+      782     NA    0.5
+      783     NA    0.5
+      784     NA    0.5
+      785     NA    0.5
+      786     NA    0.5
+      787     NA    0.5
+      788     NA    0.5
+      789     NA    0.5
+      790     NA    0.5
+      791     NA    0.5
+      792     NA    0.5
+      793     NA    0.5
+      794     NA    0.5
+      795     NA    0.5
+      796     NA    0.5
+      797     NA    0.5
+      798     NA    0.5
+      799     NA    0.5
+      800     NA    0.5
+      801     NA    0.5
+      802     NA    0.5
+      803     NA    0.5
+      804     NA    0.5
+      805     NA    0.5
+      806     NA    0.5
+      807     NA    0.5
+      808     NA    0.5
+      809     NA    0.5
+      810     NA    0.5
+      811     NA    0.5
+      812     NA    0.5
+      813     NA    0.5
+      814     NA    0.5
+      815     NA    0.5
+      816     NA    0.5
+      817     NA    0.5
+      818     NA    0.5
+      819     NA    0.5
+      820     NA    0.5
+      821     NA    0.5
+      822     NA    0.5
+      823     NA    0.5
+      824     NA    0.5
+      825     NA    0.5
+      826     NA    0.5
+      827     NA    0.5
+      828     NA    0.5
+      829     NA    0.5
+      830     NA    0.5
+      831     NA    0.5
+      832     NA    0.5
+      833     NA    0.5
+      834     NA    0.5
+      835     NA    0.5
+      836     NA    0.5
+      837     NA    0.5
+      838     NA    0.5
+      839     NA    0.5
+      840     NA    0.5
+      841     NA    0.5
+      842     NA    0.5
+      843     NA    0.5
+      844     NA    0.5
+      845     NA    0.5
+      846     NA    0.5
+      847     NA    0.5
+      848     NA    0.5
+      849     NA    0.5
+      850     NA    0.5
+      851     NA    0.5
+      852     NA    0.5
+      853     NA    0.5
+      854     NA    0.5
+      855     NA    0.5
+      856     NA    0.5
+      857     NA    0.5
+      858     NA    0.5
+      859     NA    0.5
+      860     NA    0.5
+      861     NA    0.5
+      862     NA    0.5
+      863     NA    0.5
+      864     NA    0.5
+      865     NA    0.5
+      866     NA    0.5
+      867     NA    0.5
+      868     NA    0.5
+      869     NA    0.5
+      870     NA    0.5
+      871     NA    0.5
+      872     NA    0.5
+      873     NA    0.5
+      874     NA    0.5
+      875     NA    0.5
+      876     NA    0.5
+      877     NA    0.5
+      878     NA    0.5
+      879     NA    0.5
+      880     NA    0.5
+      881     NA    0.5
+      882     NA    0.5
+      883     NA    0.5
+      884     NA    0.5
+      885     NA    0.5
+      886     NA    0.5
+      887     NA    0.5
+      888     NA    0.5
+      889     NA    0.5
+      890     NA    0.5
+      891     NA    0.5
+      892     NA    0.5
+      893     NA    0.5
+      894     NA    0.5
+      895     NA    0.5
+      896     NA    0.5
+      897     NA    0.5
+      898     NA    0.5
+      899     NA    0.5
+      900     NA    0.5
+      901     NA    0.5
+      902     NA    0.5
+      903     NA    0.5
+      904     NA    0.5
+      905     NA    0.5
+      906     NA    0.5
+      907     NA    0.5
+      908     NA    0.5
+      909     NA    0.5
+      910     NA    0.5
+      911     NA    0.5
+      912     NA    0.5
+      913     NA    0.5
+      914     NA    0.5
+      915     NA    0.5
+      916     NA    0.5
+      917     NA    0.5
+      918     NA    0.5
+      919     NA    0.5
+      920     NA    0.5
+      921     NA    0.5
+      922     NA    0.5
+      923     NA    0.5
+      924     NA    0.5
+      925     NA    0.5
+      926     NA    0.5
+      927     NA    0.5
+      928     NA    0.5
+      929     NA    0.5
+      930     NA    0.5
+      931     NA    0.5
+      932     NA    0.5
+      933     NA    0.5
+      934     NA    0.5
+      935     NA    0.5
+      936     NA    0.5
+      937     NA    0.5
+      938     NA    0.5
+      939     NA    0.5
+      940     NA    0.5
+      941     NA    0.5
+      942     NA    0.5
+      943     NA    0.5
+      944     NA    0.5
+      945     NA    0.5
+      946     NA    0.5
+      947     NA    0.5
+      948     NA    0.5
+      949     NA    0.5
+      950     NA    0.5
+      951     NA    0.5
+      952     NA    0.5
+      953     NA    0.5
+      954     NA    0.5
+      955     NA    0.5
+      956     NA    0.5
+      957     NA    0.5
+      958     NA    0.5
+      959     NA    0.5
+      960     NA    0.5
+      961     NA    0.5
+      962     NA    0.5
+      963     NA    0.5
+      964     NA    0.5
+      965     NA    0.5
+      966     NA    0.5
+      967     NA    0.5
+      968     NA    0.5
+      969     NA    0.5
+      970     NA    0.5
+      971     NA    0.5
+      972     NA    0.5
+      973     NA    0.5
+      974     NA    0.5
+      975     NA    0.5
+      976     NA    0.5
+      977     NA    0.5
+      978     NA    0.5
+      979     NA    0.5
+      980     NA    0.5
+      981     NA    0.5
+      982     NA    0.5
+      983     NA    0.5
+      984     NA    0.5
+      985     NA    0.5
+      986     NA    0.5
+      987     NA    0.5
+      988     NA    0.5
+      989     NA    0.5
+      990     NA    0.5
+      991     NA    0.5
+      992     NA    0.5
+      993     NA    0.5
+      994     NA    0.5
+      995     NA    0.5
+      996     NA    0.5
+      997     NA    0.5
+      998     NA    0.5
+      999     NA    0.5
+      1000    NA    0.5
 
 ---
 
     Code
       cat(res)
+    Output
+            colour             x            y label PANEL group shape size fill alpha
+      1    #F8766D  4.5441482325 1.3818956504    NA     1     1    19  1.5   NA    NA
+      2    #F8766D  2.8853747884 0.5982482965    NA     1     1    19  1.5   NA    NA
+      3    #F8766D  3.2680928854 0.1381377699    NA     1     1    19  1.5   NA    NA
+      4    #F8766D -2.7685178364 0.0021205292    NA     1     1    19  1.5   NA    NA
+      5    #F8766D -2.0015845977 0.0021205292    NA     1     1    19  1.5   NA    NA
+      6    #F8766D  1.8697266400 0.0021205292    NA     1     1    19  1.5   NA    NA
+      7    #F8766D -2.6310797515 0.0021205292    NA     1     1    19  1.5   NA    NA
+      8    #F8766D  1.5810468973 0.0021205292    NA     1     1    19  1.5   NA    NA
+      9    #F8766D -1.4990238390 0.0021205292    NA     1     1    19  1.5   NA    NA
+      10   #F8766D -4.2872259508 0.0021205292    NA     1     1    19  1.5   NA    NA
+      11   #F8766D  1.4516881799 0.0021205292    NA     1     1    19  1.5   NA    NA
+      12   #F8766D  2.1168366450 0.0021205292    NA     1     1    19  1.5   NA    NA
+      13   #F8766D  1.2946089192 0.0021205292    NA     1     1    19  1.5   NA    NA
+      14   #F8766D  2.8936076107 0.0021205292    NA     1     1    19  1.5   NA    NA
+      15   #F8766D  3.3837531530 0.0021205292    NA     1     1    19  1.5   NA    NA
+      16   #F8766D -2.5919810070 0.0021205292    NA     1     1    19  1.5   NA    NA
+      17   #F8766D -1.3947473565 0.0021205292    NA     1     1    19  1.5   NA    NA
+      18   #F8766D  1.2566241369 0.0021205292    NA     1     1    19  1.5   NA    NA
+      19   #F8766D -1.6589074589 0.0021205292    NA     1     1    19  1.5   NA    NA
+      20   #F8766D -1.4300484029 0.0021205292    NA     1     1    19  1.5   NA    NA
+      21   #F8766D  2.1974756887 0.0021205292    NA     1     1    19  1.5   NA    NA
+      22   #F8766D  0.6608191174 0.0021205292    NA     1     1    19  1.5   NA    NA
+      23   #F8766D  1.2021489695 0.0021205292    NA     1     1    19  1.5   NA    NA
+      24   #F8766D  0.5843206218 0.0021205292    NA     1     1    19  1.5   NA    NA
+      25   #F8766D -0.6315527980 0.0021205292    NA     1     1    19  1.5   NA    NA
+      26   #F8766D  1.0777341120 0.0021205292    NA     1     1    19  1.5   NA    NA
+      27   #F8766D  3.7855164763 0.0021205292    NA     1     1    19  1.5   NA    NA
+      28   #F8766D  0.6461020658 0.0021205292    NA     1     1    19  1.5   NA    NA
+      29   #F8766D -1.4230348186 0.0021205292    NA     1     1    19  1.5   NA    NA
+      30   #F8766D  1.1571699120 0.0021205292    NA     1     1    19  1.5   NA    NA
+      31   #F8766D  1.1276216809 0.0021205292    NA     1     1    19  1.5   NA    NA
+      32   #F8766D  1.0268324929 0.0021205292    NA     1     1    19  1.5   NA    NA
+      33   #F8766D  0.6601321397 0.0021205292    NA     1     1    19  1.5   NA    NA
+      34   #F8766D  1.0534140185 0.0021205292    NA     1     1    19  1.5   NA    NA
+      35   #F8766D  1.0902897066 0.0021205292    NA     1     1    19  1.5   NA    NA
+      36   #F8766D -1.2734106246 0.0021205292    NA     1     1    19  1.5   NA    NA
+      37   #F8766D -1.0679120160 0.0021205292    NA     1     1    19  1.5   NA    NA
+      38   #F8766D  1.2687751940 0.0021205292    NA     1     1    19  1.5   NA    NA
+      39   #F8766D  2.0914440733 0.0021205292    NA     1     1    19  1.5   NA    NA
+      40   #F8766D  1.7217579263 0.0021205292    NA     1     1    19  1.5   NA    NA
+      41   #F8766D -1.1077108646 0.0021205292    NA     1     1    19  1.5   NA    NA
+      42   #F8766D  0.9678855059 0.0021205292    NA     1     1    19  1.5   NA    NA
+      43   #F8766D  1.5771314667 0.0021205292    NA     1     1    19  1.5   NA    NA
+      44   #F8766D -0.6118345861 0.0021205292    NA     1     1    19  1.5   NA    NA
+      45   #F8766D -1.3077739654 0.0021205292    NA     1     1    19  1.5   NA    NA
+      46   #F8766D  0.6039958057 0.0021205292    NA     1     1    19  1.5   NA    NA
+      47   #F8766D -0.5891876151 0.0021205292    NA     1     1    19  1.5   NA    NA
+      48   #F8766D  4.0428041037 0.0021205292    NA     1     1    19  1.5   NA    NA
+      49   #F8766D -0.5865558008 0.0021205292    NA     1     1    19  1.5   NA    NA
+      50   #F8766D -1.5221409799 0.0021205292    NA     1     1    19  1.5   NA    NA
+      51   #F8766D  1.0560885560 0.0021205292    NA     1     1    19  1.5   NA    NA
+      52   #F8766D  0.8835172546 0.0021205292    NA     1     1    19  1.5   NA    NA
+      53   #F8766D  0.9188454400 0.0021205292    NA     1     1    19  1.5   NA    NA
+      54   #F8766D -0.5306488162 0.0021205292    NA     1     1    19  1.5   NA    NA
+      55   #F8766D -1.4267870613 0.0021205292    NA     1     1    19  1.5   NA    NA
+      56   #F8766D -1.1722045261 0.0021205292    NA     1     1    19  1.5   NA    NA
+      57   #F8766D -0.9388988613 0.0021205292    NA     1     1    19  1.5   NA    NA
+      58   #F8766D -1.9686936318 0.0021205292    NA     1     1    19  1.5   NA    NA
+      59   #F8766D  0.5199593392 0.0021205292    NA     1     1    19  1.5   NA    NA
+      60   #F8766D -0.6618351108 0.0021205292    NA     1     1    19  1.5   NA    NA
+      61   #F8766D  1.0506953534 0.0021205292    NA     1     1    19  1.5   NA    NA
+      62   #F8766D  1.2699072074 0.0021205292    NA     1     1    19  1.5   NA    NA
+      63   #F8766D  1.4801374750 0.0021205292    NA     1     1    19  1.5   NA    NA
+      64   #F8766D -2.1011618432 0.0021205292    NA     1     1    19  1.5   NA    NA
+      65   #F8766D  0.9436583946 0.0021205292    NA     1     1    19  1.5   NA    NA
+      66   #F8766D -1.9496065182 0.0021205292    NA     1     1    19  1.5   NA    NA
+      67   #F8766D  0.8588552203 0.0021205292    NA     1     1    19  1.5   NA    NA
+      68   #F8766D  0.8082499189 0.0021205292    NA     1     1    19  1.5   NA    NA
+      69   #F8766D  1.1185073946 0.0021205292    NA     1     1    19  1.5   NA    NA
+      70   #F8766D -0.5710990401 0.0021205292    NA     1     1    19  1.5   NA    NA
+      71   #F8766D -0.4747147614 0.0021205292    NA     1     1    19  1.5   NA    NA
+      72   #F8766D  0.4807212287 0.0021205292    NA     1     1    19  1.5   NA    NA
+      73   #F8766D  0.8750972790 0.0021205292    NA     1     1    19  1.5   NA    NA
+      74   #F8766D -1.9252179935 0.0021205292    NA     1     1    19  1.5   NA    NA
+      75   #F8766D -0.5126246305 0.0021205292    NA     1     1    19  1.5   NA    NA
+      76   #F8766D  0.8833019705 0.0021205292    NA     1     1    19  1.5   NA    NA
+      77   #F8766D  0.8804282207 0.0021205292    NA     1     1    19  1.5   NA    NA
+      78   #F8766D  0.8085531676 0.0021205292    NA     1     1    19  1.5   NA    NA
+      79   #F8766D  0.9919429354 0.0021205292    NA     1     1    19  1.5   NA    NA
+      80   #F8766D  0.9182626855 0.0021205292    NA     1     1    19  1.5   NA    NA
+      81   #F8766D  0.4849287432 0.0021205292    NA     1     1    19  1.5   NA    NA
+      82   #F8766D  0.4535520658 0.0021205292    NA     1     1    19  1.5   NA    NA
+      83   #F8766D  0.7084222232 0.0021205292    NA     1     1    19  1.5   NA    NA
+      84   #F8766D  0.9057858766 0.0021205292    NA     1     1    19  1.5   NA    NA
+      85   #F8766D  0.8457319762 0.0021205292    NA     1     1    19  1.5   NA    NA
+      86   #F8766D  1.0567186323 0.0021205292    NA     1     1    19  1.5   NA    NA
+      87   #F8766D  1.0996113165 0.0021205292    NA     1     1    19  1.5   NA    NA
+      88   #F8766D  0.6003317781 0.0021205292    NA     1     1    19  1.5   NA    NA
+      89   #F8766D  2.4461464255 0.0021205292    NA     1     1    19  1.5   NA    NA
+      90   #F8766D  0.4774418799 0.0021205292    NA     1     1    19  1.5   NA    NA
+      91   #F8766D  0.8129876269 0.0021205292    NA     1     1    19  1.5   NA    NA
+      92   #F8766D  1.0792170167 0.0021205292    NA     1     1    19  1.5   NA    NA
+      93   #F8766D  2.3187254719 0.0021205292    NA     1     1    19  1.5   NA    NA
+      94   #F8766D  0.9218987819 0.0021205292    NA     1     1    19  1.5   NA    NA
+      95   #F8766D  1.0720723275 0.0021205292    NA     1     1    19  1.5   NA    NA
+      96   #F8766D -1.3257823843 0.0021205292    NA     1     1    19  1.5   NA    NA
+      97   #F8766D  0.8345656062 0.0021205292    NA     1     1    19  1.5   NA    NA
+      98   #F8766D -0.4599534999 0.0021205292    NA     1     1    19  1.5   NA    NA
+      99   #F8766D -0.6441880108 0.0021205292    NA     1     1    19  1.5   NA    NA
+      100  #F8766D  0.7759958764 0.0021205292    NA     1     1    19  1.5   NA    NA
+      101  #F8766D  1.0473233404 0.0021205292    NA     1     1    19  1.5   NA    NA
+      102  #F8766D -0.4231028209 0.0021205292    NA     1     1    19  1.5   NA    NA
+      103  #F8766D -0.4733135214 0.0021205292    NA     1     1    19  1.5   NA    NA
+      104  #F8766D -0.9727803596 0.0021205292    NA     1     1    19  1.5   NA    NA
+      105  #F8766D  0.7722467186 0.0021205292    NA     1     1    19  1.5   NA    NA
+      106  #F8766D  0.7723303950 0.0021205292    NA     1     1    19  1.5   NA    NA
+      107  #F8766D -1.1212506240 0.0021205292    NA     1     1    19  1.5   NA    NA
+      108  #F8766D  0.4676770021 0.0021205292    NA     1     1    19  1.5   NA    NA
+      109  #F8766D  0.4410630412 0.0021205292    NA     1     1    19  1.5   NA    NA
+      110  #F8766D -1.6021661180 0.0021205292    NA     1     1    19  1.5   NA    NA
+      111  #F8766D -0.7735521870 0.0021205292    NA     1     1    19  1.5   NA    NA
+      112  #F8766D  1.0532398858 0.0021205292    NA     1     1    19  1.5   NA    NA
+      113  #F8766D  0.8200829526 0.0021205292    NA     1     1    19  1.5   NA    NA
+      114  #F8766D  1.0689081046 0.0021205292    NA     1     1    19  1.5   NA    NA
+      115  #F8766D  0.8537721903 0.0021205292    NA     1     1    19  1.5   NA    NA
+      116  #F8766D -0.9562085177 0.0021205292    NA     1     1    19  1.5   NA    NA
+      117  #F8766D -0.4561820132 0.0021205292    NA     1     1    19  1.5   NA    NA
+      118  #F8766D -0.5281014198 0.0021205292    NA     1     1    19  1.5   NA    NA
+      119  #F8766D -1.1117447604 0.0021205292    NA     1     1    19  1.5   NA    NA
+      120  #F8766D -0.4223870215 0.0021205292    NA     1     1    19  1.5   NA    NA
+      121  #F8766D -0.4338653184 0.0021205292    NA     1     1    19  1.5   NA    NA
+      122  #F8766D  0.4604146623 0.0021205292    NA     1     1    19  1.5   NA    NA
+      123  #F8766D -1.8983645761 0.0021205292    NA     1     1    19  1.5   NA    NA
+      124  #F8766D -0.4711349780 0.0021205292    NA     1     1    19  1.5   NA    NA
+      125  #F8766D  0.4637690485 0.0021205292    NA     1     1    19  1.5   NA    NA
+      126  #F8766D -0.4123518649 0.0021205292    NA     1     1    19  1.5   NA    NA
+      127  #F8766D  0.9833435800 0.0021205292    NA     1     1    19  1.5   NA    NA
+      128  #F8766D  0.9105954136 0.0021205292    NA     1     1    19  1.5   NA    NA
+      129  #F8766D -0.4411373075 0.0021205292    NA     1     1    19  1.5   NA    NA
+      130  #F8766D  1.1011164140 0.0021205292    NA     1     1    19  1.5   NA    NA
+      131  #F8766D  0.4063912697 0.0021205292    NA     1     1    19  1.5   NA    NA
+      132  #F8766D  0.9349878804 0.0021205292    NA     1     1    19  1.5   NA    NA
+      133  #F8766D -0.6311206654 0.0021205292    NA     1     1    19  1.5   NA    NA
+      134  #F8766D -0.7304868310 0.0021205292    NA     1     1    19  1.5   NA    NA
+      135  #F8766D  1.0544682243 0.0021205292    NA     1     1    19  1.5   NA    NA
+      136  #F8766D  0.4678615627 0.0021205292    NA     1     1    19  1.5   NA    NA
+      137  #F8766D  0.7205681717 0.0021205292    NA     1     1    19  1.5   NA    NA
+      138  #F8766D -0.9562323584 0.0021205292    NA     1     1    19  1.5   NA    NA
+      139  #F8766D  0.3978745347 0.0021205292    NA     1     1    19  1.5   NA    NA
+      140  #F8766D  0.7104545209 0.0021205292    NA     1     1    19  1.5   NA    NA
+      141  #F8766D  0.4125776954 0.0021205292    NA     1     1    19  1.5   NA    NA
+      142  #F8766D  0.7122192129 0.0021205292    NA     1     1    19  1.5   NA    NA
+      143  #F8766D -0.8425123236 0.0021205292    NA     1     1    19  1.5   NA    NA
+      144  #F8766D  0.6492421984 0.0021205292    NA     1     1    19  1.5   NA    NA
+      145  #F8766D  1.0353931279 0.0021205292    NA     1     1    19  1.5   NA    NA
+      146  #F8766D  0.7932233645 0.0021205292    NA     1     1    19  1.5   NA    NA
+      147  #F8766D  0.4480173986 0.0021205292    NA     1     1    19  1.5   NA    NA
+      148  #F8766D  0.4297551938 0.0021205292    NA     1     1    19  1.5   NA    NA
+      149  #F8766D -0.9229270583 0.0021205292    NA     1     1    19  1.5   NA    NA
+      150  #F8766D  0.6722000551 0.0021205292    NA     1     1    19  1.5   NA    NA
+      151  #F8766D  0.4382865233 0.0021205292    NA     1     1    19  1.5   NA    NA
+      152  #F8766D -0.3939492820 0.0021205292    NA     1     1    19  1.5   NA    NA
+      153  #F8766D  0.7108327840 0.0021205292    NA     1     1    19  1.5   NA    NA
+      154  #F8766D  0.8632535015 0.0021205292    NA     1     1    19  1.5   NA    NA
+      155  #F8766D  0.9755432954 0.0021205292    NA     1     1    19  1.5   NA    NA
+      156  #F8766D -1.3681844728 0.0021205292    NA     1     1    19  1.5   NA    NA
+      157  #F8766D -0.7095631750 0.0021205292    NA     1     1    19  1.5   NA    NA
+      158  #F8766D -0.3872607495 0.0021205292    NA     1     1    19  1.5   NA    NA
+      159  #F8766D -0.4229868732 0.0021205292    NA     1     1    19  1.5   NA    NA
+      160  #F8766D -1.0255541961 0.0021205292    NA     1     1    19  1.5   NA    NA
+      161  #F8766D -0.3884744562 0.0021205292    NA     1     1    19  1.5   NA    NA
+      162  #F8766D  0.4856446082 0.0021205292    NA     1     1    19  1.5   NA    NA
+      163  #F8766D -0.3672889171 0.0021205292    NA     1     1    19  1.5   NA    NA
+      164  #F8766D -0.4355670192 0.0021205292    NA     1     1    19  1.5   NA    NA
+      165  #F8766D  0.6545121813 0.0021205292    NA     1     1    19  1.5   NA    NA
+      166  #F8766D  0.7106242284 0.0021205292    NA     1     1    19  1.5   NA    NA
+      167  #F8766D -1.1861517618 0.0021205292    NA     1     1    19  1.5   NA    NA
+      168  #F8766D  0.6459055098 0.0021205292    NA     1     1    19  1.5   NA    NA
+      169  #F8766D  0.7104775008 0.0021205292    NA     1     1    19  1.5   NA    NA
+      170  #F8766D  0.7882239899 0.0021205292    NA     1     1    19  1.5   NA    NA
+      171  #F8766D -0.3844953178 0.0021205292    NA     1     1    19  1.5   NA    NA
+      172  #F8766D  0.3636592651 0.0021205292    NA     1     1    19  1.5   NA    NA
+      173  #F8766D  0.6804729564 0.0021205292    NA     1     1    19  1.5   NA    NA
+      174  #F8766D  0.8528517441 0.0021205292    NA     1     1    19  1.5   NA    NA
+      175  #F8766D  0.3725104062 0.0021205292    NA     1     1    19  1.5   NA    NA
+      176  #F8766D  0.5922551987 0.0021205292    NA     1     1    19  1.5   NA    NA
+      177  #F8766D  0.6310159117 0.0021205292    NA     1     1    19  1.5   NA    NA
+      178  #F8766D  0.7153370430 0.0021205292    NA     1     1    19  1.5   NA    NA
+      179  #F8766D  0.4933124706 0.0021205292    NA     1     1    19  1.5   NA    NA
+      180  #F8766D -0.3582822164 0.0021205292    NA     1     1    19  1.5   NA    NA
+      181  #F8766D -0.7785222261 0.0021205292    NA     1     1    19  1.5   NA    NA
+      182  #F8766D  0.7437164994 0.0021205292    NA     1     1    19  1.5   NA    NA
+      183  #F8766D -0.3928181416 0.0021205292    NA     1     1    19  1.5   NA    NA
+      184  #F8766D  0.9183593296 0.0021205292    NA     1     1    19  1.5   NA    NA
+      185  #F8766D  0.5073932595 0.0021205292    NA     1     1    19  1.5   NA    NA
+      186  #F8766D  0.6638603543 0.0021205292    NA     1     1    19  1.5   NA    NA
+      187  #F8766D  0.6051560458 0.0021205292    NA     1     1    19  1.5   NA    NA
+      188  #F8766D  0.6473937600 0.0021205292    NA     1     1    19  1.5   NA    NA
+      189  #F8766D -0.3931544973 0.0021205292    NA     1     1    19  1.5   NA    NA
+      190  #F8766D  0.7458530920 0.0021205292    NA     1     1    19  1.5   NA    NA
+      191  #F8766D -0.5449095920 0.0021205292    NA     1     1    19  1.5   NA    NA
+      192  #F8766D -0.6723880145 0.0021205292    NA     1     1    19  1.5   NA    NA
+      193  #F8766D -0.4455627588 0.0021205292    NA     1     1    19  1.5   NA    NA
+      194  #F8766D -1.5902256336 0.0021205292    NA     1     1    19  1.5   NA    NA
+      195  #F8766D  0.6069462105 0.0021205292    NA     1     1    19  1.5   NA    NA
+      196  #F8766D -0.7156786392 0.0021205292    NA     1     1    19  1.5   NA    NA
+      197  #F8766D  0.7160857094 0.0021205292    NA     1     1    19  1.5   NA    NA
+      198  #F8766D -1.7539104089 0.0021205292    NA     1     1    19  1.5   NA    NA
+      199  #F8766D  0.6800172149 0.0021205292    NA     1     1    19  1.5   NA    NA
+      200  #F8766D -0.7350381453 0.0021205292    NA     1     1    19  1.5   NA    NA
+      201  #F8766D  0.3943387163 0.0021205292    NA     1     1    19  1.5   NA    NA
+      202  #F8766D  0.7844005350 0.0021205292    NA     1     1    19  1.5   NA    NA
+      203  #F8766D -2.8258587123 0.0021205292    NA     1     1    19  1.5   NA    NA
+      204  #F8766D -0.4280526119 0.0021205292    NA     1     1    19  1.5   NA    NA
+      205  #F8766D -0.3366735549 0.0021205292    NA     1     1    19  1.5   NA    NA
+      206  #F8766D  0.6095278817 0.0021205292    NA     1     1    19  1.5   NA    NA
+      207  #F8766D  0.7790488875 0.0021205292    NA     1     1    19  1.5   NA    NA
+      208  #F8766D  0.6967033049 0.0021205292    NA     1     1    19  1.5   NA    NA
+      209  #F8766D  0.3530754899 0.0021205292    NA     1     1    19  1.5   NA    NA
+      210  #F8766D -0.7223437212 0.0021205292    NA     1     1    19  1.5   NA    NA
+      211  #F8766D  0.3207175020 0.0021205292    NA     1     1    19  1.5   NA    NA
+      212  #F8766D -0.3622207343 0.0021205292    NA     1     1    19  1.5   NA    NA
+      213  #F8766D  0.6577980763 0.0021205292    NA     1     1    19  1.5   NA    NA
+      214  #F8766D -0.6985584082 0.0021205292    NA     1     1    19  1.5   NA    NA
+      215  #F8766D  0.9266775924 0.0021205292    NA     1     1    19  1.5   NA    NA
+      216  #F8766D  0.3798970829 0.0021205292    NA     1     1    19  1.5   NA    NA
+      217  #F8766D  0.9261045660 0.0021205292    NA     1     1    19  1.5   NA    NA
+      218  #F8766D -0.3774932396 0.0021205292    NA     1     1    19  1.5   NA    NA
+      219  #F8766D  0.3699156634 0.0021205292    NA     1     1    19  1.5   NA    NA
+      220  #F8766D -0.3364626128 0.0021205292    NA     1     1    19  1.5   NA    NA
+      221  #F8766D  0.6177538088 0.0021205292    NA     1     1    19  1.5   NA    NA
+      222  #F8766D  0.5809323101 0.0021205292    NA     1     1    19  1.5   NA    NA
+      223  #F8766D -1.2141736965 0.0021205292    NA     1     1    19  1.5   NA    NA
+      224  #F8766D  0.8241746459 0.0021205292    NA     1     1    19  1.5   NA    NA
+      225  #F8766D  1.0245812684 0.0021205292    NA     1     1    19  1.5   NA    NA
+      226  #F8766D  0.3114052040 0.0021205292    NA     1     1    19  1.5   NA    NA
+      227  #F8766D -0.6389622198 0.0021205292    NA     1     1    19  1.5   NA    NA
+      228  #F8766D  0.3208509428 0.0021205292    NA     1     1    19  1.5   NA    NA
+      229  #F8766D  0.3543402249 0.0021205292    NA     1     1    19  1.5   NA    NA
+      230  #F8766D  0.3688273949 0.0021205292    NA     1     1    19  1.5   NA    NA
+      231  #F8766D -0.9556164455 0.0021205292    NA     1     1    19  1.5   NA    NA
+      232  #F8766D  0.3116243601 0.0021205292    NA     1     1    19  1.5   NA    NA
+      233  #F8766D -0.3744241412 0.0021205292    NA     1     1    19  1.5   NA    NA
+      234  #F8766D  0.3041505305 0.0021205292    NA     1     1    19  1.5   NA    NA
+      235  #F8766D  0.5546340767 0.0021205292    NA     1     1    19  1.5   NA    NA
+      236  #F8766D -0.8222331293 0.0021205292    NA     1     1    19  1.5   NA    NA
+      237  #F8766D -0.3313804570 0.0021205292    NA     1     1    19  1.5   NA    NA
+      238  #F8766D  1.2171328131 0.0021205292    NA     1     1    19  1.5   NA    NA
+      239  #F8766D  0.3193989068 0.0021205292    NA     1     1    19  1.5   NA    NA
+      240  #F8766D  0.3190023703 0.0021205292    NA     1     1    19  1.5   NA    NA
+      241  #F8766D -0.3252728847 0.0021205292    NA     1     1    19  1.5   NA    NA
+      242  #F8766D -0.5916563971 0.0021205292    NA     1     1    19  1.5   NA    NA
+      243  #F8766D  0.5499740220 0.0021205292    NA     1     1    19  1.5   NA    NA
+      244  #F8766D -0.3148736335 0.0021205292    NA     1     1    19  1.5   NA    NA
+      245  #F8766D  0.6131678424 0.0021205292    NA     1     1    19  1.5   NA    NA
+      246  #F8766D  0.3314988268 0.0021205292    NA     1     1    19  1.5   NA    NA
+      247  #F8766D  0.3264900548 0.0021205292    NA     1     1    19  1.5   NA    NA
+      248  #F8766D -0.3211475785 0.0021205292    NA     1     1    19  1.5   NA    NA
+      249  #F8766D  0.6821549479 0.0021205292    NA     1     1    19  1.5   NA    NA
+      250  #F8766D  0.7289700796 0.0021205292    NA     1     1    19  1.5   NA    NA
+      251  #F8766D  0.2977444052 0.0021205292    NA     1     1    19  1.5   NA    NA
+      252  #F8766D  0.3139888888 0.0021205292    NA     1     1    19  1.5   NA    NA
+      253  #F8766D  0.5315852648 0.0021205292    NA     1     1    19  1.5   NA    NA
+      254  #F8766D  0.6025698543 0.0021205292    NA     1     1    19  1.5   NA    NA
+      255  #F8766D  0.5702421291 0.0021205292    NA     1     1    19  1.5   NA    NA
+      256  #F8766D  0.5677650890 0.0021205292    NA     1     1    19  1.5   NA    NA
+      257  #F8766D  0.2994931149 0.0021205292    NA     1     1    19  1.5   NA    NA
+      258  #F8766D  0.7166256025 0.0021205292    NA     1     1    19  1.5   NA    NA
+      259  #F8766D  0.2816044184 0.0021205292    NA     1     1    19  1.5   NA    NA
+      260  #F8766D  0.7091552530 0.0021205292    NA     1     1    19  1.5   NA    NA
+      261  #F8766D  0.5949419692 0.0021205292    NA     1     1    19  1.5   NA    NA
+      262  #F8766D  0.3570456568 0.0021205292    NA     1     1    19  1.5   NA    NA
+      263  #F8766D -0.3072506216 0.0021205292    NA     1     1    19  1.5   NA    NA
+      264  #F8766D -0.6952942200 0.0021205292    NA     1     1    19  1.5   NA    NA
+      265  #F8766D  0.7744006613 0.0021205292    NA     1     1    19  1.5   NA    NA
+      266  #F8766D -0.5576967314 0.0021205292    NA     1     1    19  1.5   NA    NA
+      267  #F8766D -1.1743741657 0.0021205292    NA     1     1    19  1.5   NA    NA
+      268  #F8766D  0.5520431390 0.0021205292    NA     1     1    19  1.5   NA    NA
+      269  #F8766D  0.5075179867 0.0021205292    NA     1     1    19  1.5   NA    NA
+      270  #F8766D -0.6475252493 0.0021205292    NA     1     1    19  1.5   NA    NA
+      271  #F8766D  0.5624372863 0.0021205292    NA     1     1    19  1.5   NA    NA
+      272  #F8766D -0.3251016335 0.0021205292    NA     1     1    19  1.5   NA    NA
+      273  #F8766D -0.3750372891 0.0021205292    NA     1     1    19  1.5   NA    NA
+      274  #F8766D -0.5823287989 0.0021205292    NA     1     1    19  1.5   NA    NA
+      275  #F8766D  0.7115373344 0.0021205292    NA     1     1    19  1.5   NA    NA
+      276  #F8766D -0.5647985006 0.0021205292    NA     1     1    19  1.5   NA    NA
+      277  #F8766D  0.5713491147 0.0021205292    NA     1     1    19  1.5   NA    NA
+      278  #F8766D  0.3363750661 0.0021205292    NA     1     1    19  1.5   NA    NA
+      279  #F8766D  0.6015625357 0.0021205292    NA     1     1    19  1.5   NA    NA
+      280  #F8766D  0.6987352339 0.0021205292    NA     1     1    19  1.5   NA    NA
+      281  #F8766D -0.7867305591 0.0021205292    NA     1     1    19  1.5   NA    NA
+      282  #F8766D  0.3114332272 0.0021205292    NA     1     1    19  1.5   NA    NA
+      283  #F8766D -0.5420115742 0.0021205292    NA     1     1    19  1.5   NA    NA
+      284  #F8766D  0.5892330020 0.0021205292    NA     1     1    19  1.5   NA    NA
+      285  #F8766D  0.5016698873 0.0021205292    NA     1     1    19  1.5   NA    NA
+      286  #F8766D -0.3140895247 0.0021205292    NA     1     1    19  1.5   NA    NA
+      287  #F8766D -0.6276890397 0.0021205292    NA     1     1    19  1.5   NA    NA
+      288  #F8766D  0.3145655200 0.0021205292    NA     1     1    19  1.5   NA    NA
+      289  #F8766D -0.3538396093 0.0021205292    NA     1     1    19  1.5   NA    NA
+      290  #F8766D  0.3241764512 0.0021205292    NA     1     1    19  1.5   NA    NA
+      291  #F8766D -0.3026796005 0.0021205292    NA     1     1    19  1.5   NA    NA
+      292  #F8766D -0.3191612048 0.0021205292    NA     1     1    19  1.5   NA    NA
+      293  #F8766D -1.8026274968 0.0021205292    NA     1     1    19  1.5   NA    NA
+      294  #F8766D -0.5758487621 0.0021205292    NA     1     1    19  1.5   NA    NA
+      295  #F8766D -1.2360064271 0.0021205292    NA     1     1    19  1.5   NA    NA
+      296  #F8766D  0.3410542500 0.0021205292    NA     1     1    19  1.5   NA    NA
+      297  #F8766D  0.3008918778 0.0021205292    NA     1     1    19  1.5   NA    NA
+      298  #F8766D  0.5466453714 0.0021205292    NA     1     1    19  1.5   NA    NA
+      299  #F8766D  0.3084764907 0.0021205292    NA     1     1    19  1.5   NA    NA
+      300  #F8766D  0.6395319931 0.0021205292    NA     1     1    19  1.5   NA    NA
+      301  #F8766D -0.2810901318 0.0021205292    NA     1     1    19  1.5   NA    NA
+      302  #F8766D  0.4443292138 0.0021205292    NA     1     1    19  1.5   NA    NA
+      303  #F8766D  0.4581921431 0.0021205292    NA     1     1    19  1.5   NA    NA
+      304  #F8766D -0.2913216910 0.0021205292    NA     1     1    19  1.5   NA    NA
+      305  #F8766D  0.2860234283 0.0021205292    NA     1     1    19  1.5   NA    NA
+      306  #F8766D  0.4764319455 0.0021205292    NA     1     1    19  1.5   NA    NA
+      307  #F8766D -0.8231103624 0.0021205292    NA     1     1    19  1.5   NA    NA
+      308  #F8766D  0.5439950665 0.0021205292    NA     1     1    19  1.5   NA    NA
+      309  #F8766D  0.2715378477 0.0021205292    NA     1     1    19  1.5   NA    NA
+      310  #F8766D -1.3215313505 0.0021205292    NA     1     1    19  1.5   NA    NA
+      311  #F8766D  0.5381969767 0.0021205292    NA     1     1    19  1.5   NA    NA
+      312  #F8766D -0.2785922665 0.0021205292    NA     1     1    19  1.5   NA    NA
+      313  #F8766D -0.3808237882 0.0021205292    NA     1     1    19  1.5   NA    NA
+      314  #F8766D  0.8698032976 0.0021205292    NA     1     1    19  1.5   NA    NA
+      315  #F8766D  0.9268225307 0.0021205292    NA     1     1    19  1.5   NA    NA
+      316  #F8766D -0.2654794427 0.0021205292    NA     1     1    19  1.5   NA    NA
+      317  #F8766D  0.4102638172 0.0021205292    NA     1     1    19  1.5   NA    NA
+      318  #F8766D  0.3816132818 0.0021205292    NA     1     1    19  1.5   NA    NA
+      319  #F8766D -0.2910726245 0.0021205292    NA     1     1    19  1.5   NA    NA
+      320  #F8766D -1.3430459310 0.0021205292    NA     1     1    19  1.5   NA    NA
+      321  #F8766D -0.3318150732 0.0021205292    NA     1     1    19  1.5   NA    NA
+      322  #F8766D  0.4520202887 0.0021205292    NA     1     1    19  1.5   NA    NA
+      323  #F8766D  0.2955240096 0.0021205292    NA     1     1    19  1.5   NA    NA
+      324  #F8766D  0.5092735854 0.0021205292    NA     1     1    19  1.5   NA    NA
+      325  #F8766D  0.2686698663 0.0021205292    NA     1     1    19  1.5   NA    NA
+      326  #F8766D  0.6426774510 0.0021205292    NA     1     1    19  1.5   NA    NA
+      327  #F8766D  0.4341564367 0.0021205292    NA     1     1    19  1.5   NA    NA
+      328  #F8766D -0.2761859487 0.0021205292    NA     1     1    19  1.5   NA    NA
+      329  #F8766D -0.4051765497 0.0021205292    NA     1     1    19  1.5   NA    NA
+      330  #F8766D  0.5372000305 0.0021205292    NA     1     1    19  1.5   NA    NA
+      331  #F8766D -0.2905559917 0.0021205292    NA     1     1    19  1.5   NA    NA
+      332  #F8766D  0.2644082912 0.0021205292    NA     1     1    19  1.5   NA    NA
+      333  #F8766D -0.3135406597 0.0021205292    NA     1     1    19  1.5   NA    NA
+      334  #F8766D  0.3562688540 0.0021205292    NA     1     1    19  1.5   NA    NA
+      335  #F8766D -0.7291590551 0.0021205292    NA     1     1    19  1.5   NA    NA
+      336  #F8766D  0.2500154576 0.0021205292    NA     1     1    19  1.5   NA    NA
+      337  #F8766D -0.6789647111 0.0021205292    NA     1     1    19  1.5   NA    NA
+      338  #F8766D  0.4509775382 0.0021205292    NA     1     1    19  1.5   NA    NA
+      339  #F8766D -0.2993343651 0.0021205292    NA     1     1    19  1.5   NA    NA
+      340  #F8766D  0.2641133128 0.0021205292    NA     1     1    19  1.5   NA    NA
+      341  #F8766D -0.3020799024 0.0021205292    NA     1     1    19  1.5   NA    NA
+      342  #F8766D -0.2710179986 0.0021205292    NA     1     1    19  1.5   NA    NA
+      343  #F8766D  0.4351808044 0.0021205292    NA     1     1    19  1.5   NA    NA
+      344  #F8766D -0.5227249300 0.0021205292    NA     1     1    19  1.5   NA    NA
+      345  #F8766D  0.2483553972 0.0021205292    NA     1     1    19  1.5   NA    NA
+      346  #F8766D -0.4242568219 0.0021205292    NA     1     1    19  1.5   NA    NA
+      347  #F8766D -1.0725152227 0.0021205292    NA     1     1    19  1.5   NA    NA
+      348  #F8766D  0.4571846480 0.0021205292    NA     1     1    19  1.5   NA    NA
+      349  #F8766D  0.4988136728 0.0021205292    NA     1     1    19  1.5   NA    NA
+      350  #F8766D  0.6953252632 0.0021205292    NA     1     1    19  1.5   NA    NA
+      351  #F8766D  0.2410544029 0.0021205292    NA     1     1    19  1.5   NA    NA
+      352  #F8766D  0.5175130411 0.0021205292    NA     1     1    19  1.5   NA    NA
+      353  #F8766D -0.6709335663 0.0021205292    NA     1     1    19  1.5   NA    NA
+      354  #F8766D  0.3114712619 0.0021205292    NA     1     1    19  1.5   NA    NA
+      355  #F8766D -0.4104370849 0.0021205292    NA     1     1    19  1.5   NA    NA
+      356  #F8766D  0.2952405739 0.0021205292    NA     1     1    19  1.5   NA    NA
+      357  #F8766D  0.4487253097 0.0021205292    NA     1     1    19  1.5   NA    NA
+      358  #F8766D  0.4474532343 0.0021205292    NA     1     1    19  1.5   NA    NA
+      359  #F8766D -0.3053799478 0.0021205292    NA     1     1    19  1.5   NA    NA
+      360  #F8766D -0.4010622648 0.0021205292    NA     1     1    19  1.5   NA    NA
+      361  #F8766D -0.2631023165 0.0021205292    NA     1     1    19  1.5   NA    NA
+      362  #F8766D -0.3569947289 0.0021205292    NA     1     1    19  1.5   NA    NA
+      363  #F8766D -0.5614679844 0.0021205292    NA     1     1    19  1.5   NA    NA
+      364  #F8766D  0.7076694925 0.0021205292    NA     1     1    19  1.5   NA    NA
+      365  #F8766D  0.2374402194 0.0021205292    NA     1     1    19  1.5   NA    NA
+      366  #F8766D  0.6724119805 0.0021205292    NA     1     1    19  1.5   NA    NA
+      367  #F8766D  0.4403945065 0.0021205292    NA     1     1    19  1.5   NA    NA
+      368  #F8766D -0.2621067897 0.0021205292    NA     1     1    19  1.5   NA    NA
+      369  #F8766D -0.2635115073 0.0021205292    NA     1     1    19  1.5   NA    NA
+      370  #F8766D -0.3353818255 0.0021205292    NA     1     1    19  1.5   NA    NA
+      371  #F8766D -0.2514804689 0.0021205292    NA     1     1    19  1.5   NA    NA
+      372  #F8766D -0.2579959351 0.0021205292    NA     1     1    19  1.5   NA    NA
+      373  #F8766D  0.2425340350 0.0021205292    NA     1     1    19  1.5   NA    NA
+      374  #F8766D -0.9697882171 0.0021205292    NA     1     1    19  1.5   NA    NA
+      375  #F8766D  0.2226739667 0.0021205292    NA     1     1    19  1.5   NA    NA
+      376  #F8766D  0.2348380948 0.0021205292    NA     1     1    19  1.5   NA    NA
+      377  #F8766D  0.4312612650 0.0021205292    NA     1     1    19  1.5   NA    NA
+      378  #F8766D  0.5051418603 0.0021205292    NA     1     1    19  1.5   NA    NA
+      379  #F8766D -0.2286818481 0.0021205292    NA     1     1    19  1.5   NA    NA
+      380  #F8766D -0.3775536850 0.0021205292    NA     1     1    19  1.5   NA    NA
+      381  #F8766D  0.2776478690 0.0021205292    NA     1     1    19  1.5   NA    NA
+      382  #F8766D -0.3593048088 0.0021205292    NA     1     1    19  1.5   NA    NA
+      383  #F8766D  0.2389571486 0.0021205292    NA     1     1    19  1.5   NA    NA
+      384  #F8766D -0.2487954892 0.0021205292    NA     1     1    19  1.5   NA    NA
+      385  #F8766D  0.2610043607 0.0021205292    NA     1     1    19  1.5   NA    NA
+      386  #F8766D  0.5595579779 0.0021205292    NA     1     1    19  1.5   NA    NA
+      387  #F8766D -0.6523690008 0.0021205292    NA     1     1    19  1.5   NA    NA
+      388  #F8766D  0.4535294343 0.0021205292    NA     1     1    19  1.5   NA    NA
+      389  #F8766D  0.7960057282 0.0021205292    NA     1     1    19  1.5   NA    NA
+      390  #F8766D  0.4936763072 0.0021205292    NA     1     1    19  1.5   NA    NA
+      391  #F8766D  0.2597379040 0.0021205292    NA     1     1    19  1.5   NA    NA
+      392  #F8766D  0.2510662538 0.0021205292    NA     1     1    19  1.5   NA    NA
+      393  #F8766D  0.2595230788 0.0021205292    NA     1     1    19  1.5   NA    NA
+      394  #F8766D  0.2975290461 0.0021205292    NA     1     1    19  1.5   NA    NA
+      395  #F8766D -0.2147854231 0.0021205292    NA     1     1    19  1.5   NA    NA
+      396  #F8766D -0.5093831745 0.0021205292    NA     1     1    19  1.5   NA    NA
+      397  #F8766D  0.4671136864 0.0021205292    NA     1     1    19  1.5   NA    NA
+      398  #F8766D  0.2318773323 0.0021205292    NA     1     1    19  1.5   NA    NA
+      399  #F8766D  0.2413981470 0.0021205292    NA     1     1    19  1.5   NA    NA
+      400  #F8766D -0.2360650085 0.0021205292    NA     1     1    19  1.5   NA    NA
+      401  #F8766D  0.2477701878 0.0021205292    NA     1     1    19  1.5   NA    NA
+      402  #F8766D  0.2511348646 0.0021205292    NA     1     1    19  1.5   NA    NA
+      403  #F8766D  0.3916729208 0.0021205292    NA     1     1    19  1.5   NA    NA
+      404  #F8766D  0.2469908554 0.0021205292    NA     1     1    19  1.5   NA    NA
+      405  #F8766D  0.4330210234 0.0021205292    NA     1     1    19  1.5   NA    NA
+      406  #F8766D  0.2381657347 0.0021205292    NA     1     1    19  1.5   NA    NA
+      407  #F8766D  0.2199339312 0.0021205292    NA     1     1    19  1.5   NA    NA
+      408  #F8766D -0.2675779508 0.0021205292    NA     1     1    19  1.5   NA    NA
+      409  #F8766D -0.4141492792 0.0021205292    NA     1     1    19  1.5   NA    NA
+      410  #F8766D -0.4087444776 0.0021205292    NA     1     1    19  1.5   NA    NA
+      411  #F8766D  0.9239443244 0.0021205292    NA     1     1    19  1.5   NA    NA
+      412  #F8766D  0.4289958652 0.0021205292    NA     1     1    19  1.5   NA    NA
+      413  #F8766D  0.4278679683 0.0021205292    NA     1     1    19  1.5   NA    NA
+      414  #F8766D  0.3319365181 0.0021205292    NA     1     1    19  1.5   NA    NA
+      415  #F8766D -0.2576166279 0.0021205292    NA     1     1    19  1.5   NA    NA
+      416  #F8766D  0.2421629531 0.0021205292    NA     1     1    19  1.5   NA    NA
+      417  #F8766D  0.4965992546 0.0021205292    NA     1     1    19  1.5   NA    NA
+      418  #F8766D  0.2227846184 0.0021205292    NA     1     1    19  1.5   NA    NA
+      419  #F8766D -0.2654171324 0.0021205292    NA     1     1    19  1.5   NA    NA
+      420  #F8766D -0.8809674893 0.0021205292    NA     1     1    19  1.5   NA    NA
+      421  #F8766D -0.3640459441 0.0021205292    NA     1     1    19  1.5   NA    NA
+      422  #F8766D  0.2005369664 0.0021205292    NA     1     1    19  1.5   NA    NA
+      423  #F8766D  0.4534842261 0.0021205292    NA     1     1    19  1.5   NA    NA
+      424  #F8766D -0.3933862737 0.0021205292    NA     1     1    19  1.5   NA    NA
+      425  #F8766D -0.2105289883 0.0021205292    NA     1     1    19  1.5   NA    NA
+      426  #F8766D -0.2143911784 0.0021205292    NA     1     1    19  1.5   NA    NA
+      427  #F8766D  0.2134026906 0.0021205292    NA     1     1    19  1.5   NA    NA
+      428  #F8766D  0.3135859009 0.0021205292    NA     1     1    19  1.5   NA    NA
+      429  #F8766D  0.4065726520 0.0021205292    NA     1     1    19  1.5   NA    NA
+      430  #F8766D -0.2292063427 0.0021205292    NA     1     1    19  1.5   NA    NA
+      431  #F8766D  0.2881987250 0.0021205292    NA     1     1    19  1.5   NA    NA
+      432  #F8766D -0.2533990768 0.0021205292    NA     1     1    19  1.5   NA    NA
+      433  #F8766D -0.2486274847 0.0021205292    NA     1     1    19  1.5   NA    NA
+      434  #F8766D -0.2227077951 0.0021205292    NA     1     1    19  1.5   NA    NA
+      435  #F8766D  0.2013973111 0.0021205292    NA     1     1    19  1.5   NA    NA
+      436  #F8766D  0.2472142917 0.0021205292    NA     1     1    19  1.5   NA    NA
+      437  #F8766D  0.1998149571 0.0021205292    NA     1     1    19  1.5   NA    NA
+      438  #F8766D -0.4283699748 0.0021205292    NA     1     1    19  1.5   NA    NA
+      439  #F8766D  0.4536491792 0.0021205292    NA     1     1    19  1.5   NA    NA
+      440  #F8766D  0.2110490901 0.0021205292    NA     1     1    19  1.5   NA    NA
+      441  #F8766D  0.3648493554 0.0021205292    NA     1     1    19  1.5   NA    NA
+      442  #F8766D -0.8374915411 0.0021205292    NA     1     1    19  1.5   NA    NA
+      443  #F8766D -0.2631779786 0.0021205292    NA     1     1    19  1.5   NA    NA
+      444  #F8766D  0.4376837444 0.0021205292    NA     1     1    19  1.5   NA    NA
+      445  #F8766D -0.2265976458 0.0021205292    NA     1     1    19  1.5   NA    NA
+      446  #F8766D -0.3398872295 0.0021205292    NA     1     1    19  1.5   NA    NA
+      447  #F8766D  0.3865085955 0.0021205292    NA     1     1    19  1.5   NA    NA
+      448  #F8766D -0.2057371863 0.0021205292    NA     1     1    19  1.5   NA    NA
+      449  #F8766D  0.4426914718 0.0021205292    NA     1     1    19  1.5   NA    NA
+      450  #F8766D  0.6183710053 0.0021205292    NA     1     1    19  1.5   NA    NA
+      451  #F8766D  0.2096647117 0.0021205292    NA     1     1    19  1.5   NA    NA
+      452  #F8766D -0.2161061630 0.0021205292    NA     1     1    19  1.5   NA    NA
+      453  #F8766D  0.5470986750 0.0021205292    NA     1     1    19  1.5   NA    NA
+      454  #F8766D -0.2093510344 0.0021205292    NA     1     1    19  1.5   NA    NA
+      455  #F8766D  0.2169504187 0.0021205292    NA     1     1    19  1.5   NA    NA
+      456  #F8766D -0.2406447461 0.0021205292    NA     1     1    19  1.5   NA    NA
+      457  #F8766D  0.2109441237 0.0021205292    NA     1     1    19  1.5   NA    NA
+      458  #F8766D  0.2032687386 0.0021205292    NA     1     1    19  1.5   NA    NA
+      459  #F8766D -0.2613335485 0.0021205292    NA     1     1    19  1.5   NA    NA
+      460  #F8766D -0.3466747063 0.0021205292    NA     1     1    19  1.5   NA    NA
+      461  #F8766D  0.1863006359 0.0021205292    NA     1     1    19  1.5   NA    NA
+      462  #F8766D  0.3475112209 0.0021205292    NA     1     1    19  1.5   NA    NA
+      463  #F8766D  0.3811490045 0.0021205292    NA     1     1    19  1.5   NA    NA
+      464  #F8766D  0.1955109715 0.0021205292    NA     1     1    19  1.5   NA    NA
+      465  #F8766D  0.3903333590 0.0021205292    NA     1     1    19  1.5   NA    NA
+      466  #F8766D -0.4208616426 0.0021205292    NA     1     1    19  1.5   NA    NA
+      467  #F8766D  0.1935090621 0.0021205292    NA     1     1    19  1.5   NA    NA
+      468  #F8766D  0.1974295823 0.0021205292    NA     1     1    19  1.5   NA    NA
+      469  #F8766D  0.3832935752 0.0021205292    NA     1     1    19  1.5   NA    NA
+      470  #F8766D  0.1916427215 0.0021205292    NA     1     1    19  1.5   NA    NA
+      471  #F8766D  0.2097611556 0.0021205292    NA     1     1    19  1.5   NA    NA
+      472  #F8766D -0.6658762091 0.0021205292    NA     1     1    19  1.5   NA    NA
+      473  #F8766D -0.4538025006 0.0021205292    NA     1     1    19  1.5   NA    NA
+      474  #F8766D  0.2177423569 0.0021205292    NA     1     1    19  1.5   NA    NA
+      475  #F8766D  0.2113205182 0.0021205292    NA     1     1    19  1.5   NA    NA
+      476  #F8766D  0.1867078505 0.0021205292    NA     1     1    19  1.5   NA    NA
+      477  #F8766D -0.3722974980 0.0021205292    NA     1     1    19  1.5   NA    NA
+      478  #F8766D -0.3026530931 0.0021205292    NA     1     1    19  1.5   NA    NA
+      479  #F8766D  0.2032304516 0.0021205292    NA     1     1    19  1.5   NA    NA
+      480  #F8766D -0.2103955238 0.0021205292    NA     1     1    19  1.5   NA    NA
+      481  #F8766D  0.1906069498 0.0021205292    NA     1     1    19  1.5   NA    NA
+      482  #F8766D  0.3214523861 0.0021205292    NA     1     1    19  1.5   NA    NA
+      483  #F8766D -0.1783734666 0.0021205292    NA     1     1    19  1.5   NA    NA
+      484  #F8766D  0.1976502525 0.0021205292    NA     1     1    19  1.5   NA    NA
+      485  #F8766D  0.2207131822 0.0021205292    NA     1     1    19  1.5   NA    NA
+      486  #F8766D -0.2008804019 0.0021205292    NA     1     1    19  1.5   NA    NA
+      487  #F8766D -0.1802704449 0.0021205292    NA     1     1    19  1.5   NA    NA
+      488  #F8766D -0.1827142668 0.0021205292    NA     1     1    19  1.5   NA    NA
+      489  #F8766D -0.3506732252 0.0021205292    NA     1     1    19  1.5   NA    NA
+      490  #F8766D -1.0409145386 0.0021205292    NA     1     1    19  1.5   NA    NA
+      491  #F8766D -0.2163720236 0.0021205292    NA     1     1    19  1.5   NA    NA
+      492  #F8766D  0.3300134202 0.0021205292    NA     1     1    19  1.5   NA    NA
+      493  #F8766D -0.3836239714 0.0021205292    NA     1     1    19  1.5   NA    NA
+      494  #F8766D  0.3249647163 0.0021205292    NA     1     1    19  1.5   NA    NA
+      495  #F8766D  0.1938682000 0.0021205292    NA     1     1    19  1.5   NA    NA
+      496  #F8766D  0.2031516192 0.0021205292    NA     1     1    19  1.5   NA    NA
+      497  #F8766D -0.2523386039 0.0021205292    NA     1     1    19  1.5   NA    NA
+      498  #F8766D  0.2068533625 0.0021205292    NA     1     1    19  1.5   NA    NA
+      499  #F8766D  0.3744980009 0.0021205292    NA     1     1    19  1.5   NA    NA
+      500  #F8766D -0.1987705845 0.0021205292    NA     1     1    19  1.5   NA    NA
+      501  #F8766D  0.1694579834 0.0021205292    NA     1     1    19  1.5   NA    NA
+      502  #F8766D  0.5719030062 0.0021205292    NA     1     1    19  1.5   NA    NA
+      503  #F8766D  0.2098426589 0.0021205292    NA     1     1    19  1.5   NA    NA
+      504  #F8766D -0.1913969094 0.0021205292    NA     1     1    19  1.5   NA    NA
+      505  #F8766D  0.3695976045 0.0021205292    NA     1     1    19  1.5   NA    NA
+      506  #F8766D  0.2129203299 0.0021205292    NA     1     1    19  1.5   NA    NA
+      507  #F8766D -0.3451447775 0.0021205292    NA     1     1    19  1.5   NA    NA
+      508  #F8766D -0.1962019288 0.0021205292    NA     1     1    19  1.5   NA    NA
+      509  #F8766D  0.3204899036 0.0021205292    NA     1     1    19  1.5   NA    NA
+      510  #F8766D -0.1688496081 0.0021205292    NA     1     1    19  1.5   NA    NA
+      511  #F8766D -0.1963774935 0.0021205292    NA     1     1    19  1.5   NA    NA
+      512  #F8766D  0.1861421489 0.0021205292    NA     1     1    19  1.5   NA    NA
+      513  #F8766D  0.3614559220 0.0021205292    NA     1     1    19  1.5   NA    NA
+      514  #F8766D  0.2022288582 0.0021205292    NA     1     1    19  1.5   NA    NA
+      515  #F8766D  0.3626286036 0.0021205292    NA     1     1    19  1.5   NA    NA
+      516  #F8766D  0.3272794242 0.0021205292    NA     1     1    19  1.5   NA    NA
+      517  #F8766D -0.1966040257 0.0021205292    NA     1     1    19  1.5   NA    NA
+      518  #F8766D -0.1893996296 0.0021205292    NA     1     1    19  1.5   NA    NA
+      519  #F8766D  0.1729694503 0.0021205292    NA     1     1    19  1.5   NA    NA
+      520  #F8766D  0.3911637220 0.0021205292    NA     1     1    19  1.5   NA    NA
+      521  #F8766D -0.2163166947 0.0021205292    NA     1     1    19  1.5   NA    NA
+      522  #F8766D  0.2330357390 0.0021205292    NA     1     1    19  1.5   NA    NA
+      523  #F8766D  0.1765810086 0.0021205292    NA     1     1    19  1.5   NA    NA
+      524  #F8766D  0.3076673390 0.0021205292    NA     1     1    19  1.5   NA    NA
+      525  #F8766D -0.1862292966 0.0021205292    NA     1     1    19  1.5   NA    NA
+      526  #F8766D  0.3096173349 0.0021205292    NA     1     1    19  1.5   NA    NA
+      527  #F8766D  0.5288545606 0.0021205292    NA     1     1    19  1.5   NA    NA
+      528  #F8766D  0.1874186941 0.0021205292    NA     1     1    19  1.5   NA    NA
+      529  #F8766D  0.3449968868 0.0021205292    NA     1     1    19  1.5   NA    NA
+      530  #F8766D  0.3061548619 0.0021205292    NA     1     1    19  1.5   NA    NA
+      531  #F8766D -0.8040538809 0.0021205292    NA     1     1    19  1.5   NA    NA
+      532  #F8766D -0.5070900065 0.0021205292    NA     1     1    19  1.5   NA    NA
+      533  #F8766D -0.1660442095 0.0021205292    NA     1     1    19  1.5   NA    NA
+      534  #F8766D  0.1678660708 0.0021205292    NA     1     1    19  1.5   NA    NA
+      535  #F8766D -0.1642188451 0.0021205292    NA     1     1    19  1.5   NA    NA
+      536  #F8766D -0.1805330451 0.0021205292    NA     1     1    19  1.5   NA    NA
+      537  #F8766D  0.1911184090 0.0021205292    NA     1     1    19  1.5   NA    NA
+      538  #F8766D  0.2914695507 0.0021205292    NA     1     1    19  1.5   NA    NA
+      539  #F8766D  0.1963887698 0.0021205292    NA     1     1    19  1.5   NA    NA
+      540  #F8766D  0.6780539125 0.0021205292    NA     1     1    19  1.5   NA    NA
+      541  #F8766D  0.1882396720 0.0021205292    NA     1     1    19  1.5   NA    NA
+      542  #F8766D  0.3070997340 0.0021205292    NA     1     1    19  1.5   NA    NA
+      543  #F8766D -0.1909795699 0.0021205292    NA     1     1    19  1.5   NA    NA
+      544  #F8766D  0.3165370062 0.0021205292    NA     1     1    19  1.5   NA    NA
+      545  #F8766D  0.1722995623 0.0021205292    NA     1     1    19  1.5   NA    NA
+      546  #F8766D -0.1663354699 0.0021205292    NA     1     1    19  1.5   NA    NA
+      547  #F8766D -0.1857744508 0.0021205292    NA     1     1    19  1.5   NA    NA
+      548  #F8766D -0.1802679540 0.0021205292    NA     1     1    19  1.5   NA    NA
+      549  #F8766D -0.5271010630 0.0021205292    NA     1     1    19  1.5   NA    NA
+      550  #F8766D -0.2031523575 0.0021205292    NA     1     1    19  1.5   NA    NA
+      551  #F8766D  0.2623861531 0.0021205292    NA     1     1    19  1.5   NA    NA
+      552  #F8766D  0.2502941753 0.0021205292    NA     1     1    19  1.5   NA    NA
+      553  #F8766D  0.3137075187 0.0021205292    NA     1     1    19  1.5   NA    NA
+      554  #F8766D -0.6289336675 0.0021205292    NA     1     1    19  1.5   NA    NA
+      555  #F8766D  0.3159054698 0.0021205292    NA     1     1    19  1.5   NA    NA
+      556  #F8766D -0.3679326362 0.0021205292    NA     1     1    19  1.5   NA    NA
+      557  #F8766D -0.3402043028 0.0021205292    NA     1     1    19  1.5   NA    NA
+      558  #F8766D  0.3531698438 0.0021205292    NA     1     1    19  1.5   NA    NA
+      559  #F8766D -0.1705662597 0.0021205292    NA     1     1    19  1.5   NA    NA
+      560  #F8766D -0.3723526053 0.0021205292    NA     1     1    19  1.5   NA    NA
+      561  #F8766D -0.2963110948 0.0021205292    NA     1     1    19  1.5   NA    NA
+      562  #F8766D  0.2082006032 0.0021205292    NA     1     1    19  1.5   NA    NA
+      563  #F8766D  0.3529694513 0.0021205292    NA     1     1    19  1.5   NA    NA
+      564  #F8766D -0.1508020004 0.0021205292    NA     1     1    19  1.5   NA    NA
+      565  #F8766D -0.2707049190 0.0021205292    NA     1     1    19  1.5   NA    NA
+      566  #F8766D  0.1629187178 0.0021205292    NA     1     1    19  1.5   NA    NA
+      567  #F8766D -0.3271223763 0.0021205292    NA     1     1    19  1.5   NA    NA
+      568  #F8766D -0.1410811870 0.0021205292    NA     1     1    19  1.5   NA    NA
+      569  #F8766D  0.1644469589 0.0021205292    NA     1     1    19  1.5   NA    NA
+      570  #F8766D  0.2003795214 0.0021205292    NA     1     1    19  1.5   NA    NA
+      571  #F8766D  0.2835137077 0.0021205292    NA     1     1    19  1.5   NA    NA
+      572  #F8766D  0.3280848382 0.0021205292    NA     1     1    19  1.5   NA    NA
+      573  #F8766D -0.1576579494 0.0021205292    NA     1     1    19  1.5   NA    NA
+      574  #F8766D -0.1539084116 0.0021205292    NA     1     1    19  1.5   NA    NA
+      575  #F8766D  0.1590798076 0.0021205292    NA     1     1    19  1.5   NA    NA
+      576  #F8766D -0.1403280937 0.0021205292    NA     1     1    19  1.5   NA    NA
+      577  #F8766D  0.1645328970 0.0021205292    NA     1     1    19  1.5   NA    NA
+      578  #F8766D  0.3364418091 0.0021205292    NA     1     1    19  1.5   NA    NA
+      579  #F8766D  0.2448745977 0.0021205292    NA     1     1    19  1.5   NA    NA
+      580  #F8766D -0.1493978033 0.0021205292    NA     1     1    19  1.5   NA    NA
+      581  #F8766D -0.1447912451 0.0021205292    NA     1     1    19  1.5   NA    NA
+      582  #F8766D -0.1558526720 0.0021205292    NA     1     1    19  1.5   NA    NA
+      583  #F8766D -0.1584362582 0.0021205292    NA     1     1    19  1.5   NA    NA
+      584  #F8766D  0.1469032309 0.0021205292    NA     1     1    19  1.5   NA    NA
+      585  #F8766D -0.3022281976 0.0021205292    NA     1     1    19  1.5   NA    NA
+      586  #F8766D  0.1739528123 0.0021205292    NA     1     1    19  1.5   NA    NA
+      587  #F8766D  0.1489350268 0.0021205292    NA     1     1    19  1.5   NA    NA
+      588  #F8766D  0.1643122858 0.0021205292    NA     1     1    19  1.5   NA    NA
+      589  #F8766D -0.3521472941 0.0021205292    NA     1     1    19  1.5   NA    NA
+      590  #F8766D  0.1662214693 0.0021205292    NA     1     1    19  1.5   NA    NA
+      591  #F8766D -0.1562867212 0.0021205292    NA     1     1    19  1.5   NA    NA
+      592  #F8766D -0.1671020630 0.0021205292    NA     1     1    19  1.5   NA    NA
+      593  #F8766D  0.1582084809 0.0021205292    NA     1     1    19  1.5   NA    NA
+      594  #F8766D  0.1627158259 0.0021205292    NA     1     1    19  1.5   NA    NA
+      595  #F8766D -0.1726025401 0.0021205292    NA     1     1    19  1.5   NA    NA
+      596  #F8766D  0.2520777233 0.0021205292    NA     1     1    19  1.5   NA    NA
+      597  #F8766D -0.1558857775 0.0021205292    NA     1     1    19  1.5   NA    NA
+      598  #F8766D  0.1819805448 0.0021205292    NA     1     1    19  1.5   NA    NA
+      599  #F8766D -0.2740474758 0.0021205292    NA     1     1    19  1.5   NA    NA
+      600  #F8766D -0.1485481458 0.0021205292    NA     1     1    19  1.5   NA    NA
+      601  #F8766D -0.1655077936 0.0021205292    NA     1     1    19  1.5   NA    NA
+      602  #F8766D -0.3987298337 0.0021205292    NA     1     1    19  1.5   NA    NA
+      603  #F8766D -0.3620371093 0.0021205292    NA     1     1    19  1.5   NA    NA
+      604  #F8766D -0.2993433980 0.0021205292    NA     1     1    19  1.5   NA    NA
+      605  #F8766D  0.1509504374 0.0021205292    NA     1     1    19  1.5   NA    NA
+      606  #F8766D  0.1624363813 0.0021205292    NA     1     1    19  1.5   NA    NA
+      607  #F8766D -0.3427262955 0.0021205292    NA     1     1    19  1.5   NA    NA
+      608  #F8766D  0.2585812673 0.0021205292    NA     1     1    19  1.5   NA    NA
+      609  #F8766D -0.3829184833 0.0021205292    NA     1     1    19  1.5   NA    NA
+      610  #F8766D  0.2598268865 0.0021205292    NA     1     1    19  1.5   NA    NA
+      611  #F8766D -0.1577866082 0.0021205292    NA     1     1    19  1.5   NA    NA
+      612  #F8766D  0.1421154003 0.0021205292    NA     1     1    19  1.5   NA    NA
+      613  #F8766D -0.1443382123 0.0021205292    NA     1     1    19  1.5   NA    NA
+      614  #F8766D -0.1444995933 0.0021205292    NA     1     1    19  1.5   NA    NA
+      615  #F8766D  0.3923065448 0.0021205292    NA     1     1    19  1.5   NA    NA
+      616  #F8766D -0.2565465824 0.0021205292    NA     1     1    19  1.5   NA    NA
+      617  #F8766D -0.1404116565 0.0021205292    NA     1     1    19  1.5   NA    NA
+      618  #F8766D -0.2063852509 0.0021205292    NA     1     1    19  1.5   NA    NA
+      619  #F8766D  0.3448504335 0.0021205292    NA     1     1    19  1.5   NA    NA
+      620  #F8766D  0.2722107129 0.0021205292    NA     1     1    19  1.5   NA    NA
+      621  #F8766D -0.1375965889 0.0021205292    NA     1     1    19  1.5   NA    NA
+      622  #F8766D  0.2562487556 0.0021205292    NA     1     1    19  1.5   NA    NA
+      623  #F8766D  0.1391322479 0.0021205292    NA     1     1    19  1.5   NA    NA
+      624  #F8766D -0.1979261876 0.0021205292    NA     1     1    19  1.5   NA    NA
+      625  #F8766D  0.1270751021 0.0021205292    NA     1     1    19  1.5   NA    NA
+      626  #F8766D -0.2099584898 0.0021205292    NA     1     1    19  1.5   NA    NA
+      627  #F8766D -0.1355477754 0.0021205292    NA     1     1    19  1.5   NA    NA
+      628  #F8766D  0.1436023807 0.0021205292    NA     1     1    19  1.5   NA    NA
+      629  #F8766D -0.1464937200 0.0021205292    NA     1     1    19  1.5   NA    NA
+      630  #F8766D  0.1648466483 0.0021205292    NA     1     1    19  1.5   NA    NA
+      631  #F8766D  0.2266372699 0.0021205292    NA     1     1    19  1.5   NA    NA
+      632  #F8766D  0.1174472855 0.0021205292    NA     1     1    19  1.5   NA    NA
+      633  #F8766D -0.3110090353 0.0021205292    NA     1     1    19  1.5   NA    NA
+      634  #F8766D  0.4528976494 0.0021205292    NA     1     1    19  1.5   NA    NA
+      635  #F8766D  0.1513421923 0.0021205292    NA     1     1    19  1.5   NA    NA
+      636  #F8766D  0.1585510344 0.0021205292    NA     1     1    19  1.5   NA    NA
+      637  #F8766D -0.1313172890 0.0021205292    NA     1     1    19  1.5   NA    NA
+      638  #F8766D -0.2073781767 0.0021205292    NA     1     1    19  1.5   NA    NA
+      639  #F8766D -0.1386134382 0.0021205292    NA     1     1    19  1.5   NA    NA
+      640  #F8766D  0.1306753392 0.0021205292    NA     1     1    19  1.5   NA    NA
+      641  #F8766D -0.4261097440 0.0021205292    NA     1     1    19  1.5   NA    NA
+      642  #F8766D  0.2122396659 0.0021205292    NA     1     1    19  1.5   NA    NA
+      643  #F8766D  0.2303707981 0.0021205292    NA     1     1    19  1.5   NA    NA
+      644  #F8766D  0.1226463601 0.0021205292    NA     1     1    19  1.5   NA    NA
+      645  #F8766D -0.1168206763 0.0021205292    NA     1     1    19  1.5   NA    NA
+      646  #F8766D -0.1278698880 0.0021205292    NA     1     1    19  1.5   NA    NA
+      647  #F8766D  0.2484768720 0.0021205292    NA     1     1    19  1.5   NA    NA
+      648  #F8766D  0.2290087298 0.0021205292    NA     1     1    19  1.5   NA    NA
+      649  #F8766D -0.1500425752 0.0021205292    NA     1     1    19  1.5   NA    NA
+      650  #F8766D  0.1357076250 0.0021205292    NA     1     1    19  1.5   NA    NA
+      651  #F8766D -0.1362549948 0.0021205292    NA     1     1    19  1.5   NA    NA
+      652  #F8766D -0.2873961660 0.0021205292    NA     1     1    19  1.5   NA    NA
+      653  #F8766D -0.1360168377 0.0021205292    NA     1     1    19  1.5   NA    NA
+      654  #F8766D  0.2461522130 0.0021205292    NA     1     1    19  1.5   NA    NA
+      655  #F8766D -0.2181431114 0.0021205292    NA     1     1    19  1.5   NA    NA
+      656  #F8766D  0.2337047142 0.0021205292    NA     1     1    19  1.5   NA    NA
+      657  #F8766D -0.1514461020 0.0021205292    NA     1     1    19  1.5   NA    NA
+      658  #F8766D -0.1276014407 0.0021205292    NA     1     1    19  1.5   NA    NA
+      659  #F8766D  0.1387423123 0.0021205292    NA     1     1    19  1.5   NA    NA
+      660  #F8766D  0.1369800355 0.0021205292    NA     1     1    19  1.5   NA    NA
+      661  #F8766D -0.1372646688 0.0021205292    NA     1     1    19  1.5   NA    NA
+      662  #F8766D -0.3834149777 0.0021205292    NA     1     1    19  1.5   NA    NA
+      663  #F8766D -0.1336025384 0.0021205292    NA     1     1    19  1.5   NA    NA
+      664  #F8766D  0.2227575507 0.0021205292    NA     1     1    19  1.5   NA    NA
+      665  #F8766D -0.1113981532 0.0021205292    NA     1     1    19  1.5   NA    NA
+      666  #F8766D  0.2387595405 0.0021205292    NA     1     1    19  1.5   NA    NA
+      667  #F8766D  0.3781441180 0.0021205292    NA     1     1    19  1.5   NA    NA
+      668  #F8766D -0.2316601933 0.0021205292    NA     1     1    19  1.5   NA    NA
+      669  #F8766D  0.1425800382 0.0021205292    NA     1     1    19  1.5   NA    NA
+      670  #F8766D -0.3755496755 0.0021205292    NA     1     1    19  1.5   NA    NA
+      671  #F8766D  0.1181455925 0.0021205292    NA     1     1    19  1.5   NA    NA
+      672  #F8766D  0.2388149041 0.0021205292    NA     1     1    19  1.5   NA    NA
+      673  #F8766D  0.2816447558 0.0021205292    NA     1     1    19  1.5   NA    NA
+      674  #F8766D  0.1186249464 0.0021205292    NA     1     1    19  1.5   NA    NA
+      675  #F8766D  0.2123108545 0.0021205292    NA     1     1    19  1.5   NA    NA
+      676  #F8766D  0.1884134619 0.0021205292    NA     1     1    19  1.5   NA    NA
+      677  #F8766D  0.3253690632 0.0021205292    NA     1     1    19  1.5   NA    NA
+      678  #F8766D -0.1898588654 0.0021205292    NA     1     1    19  1.5   NA    NA
+      679  #F8766D -0.2540576000 0.0021205292    NA     1     1    19  1.5   NA    NA
+      680  #F8766D  0.1969649767 0.0021205292    NA     1     1    19  1.5   NA    NA
+      681  #F8766D  0.1173817941 0.0021205292    NA     1     1    19  1.5   NA    NA
+      682  #F8766D  0.3649953927 0.0021205292    NA     1     1    19  1.5   NA    NA
+      683  #F8766D  0.1232383946 0.0021205292    NA     1     1    19  1.5   NA    NA
+      684  #F8766D  0.1999084930 0.0021205292    NA     1     1    19  1.5   NA    NA
+      685  #F8766D -0.1180521875 0.0021205292    NA     1     1    19  1.5   NA    NA
+      686  #F8766D  0.1125367710 0.0021205292    NA     1     1    19  1.5   NA    NA
+      687  #F8766D  0.1220673057 0.0021205292    NA     1     1    19  1.5   NA    NA
+      688  #F8766D  0.2055450678 0.0021205292    NA     1     1    19  1.5   NA    NA
+      689  #F8766D  0.1087758602 0.0021205292    NA     1     1    19  1.5   NA    NA
+      690  #F8766D -0.1780404824 0.0021205292    NA     1     1    19  1.5   NA    NA
+      691  #F8766D -0.1100927851 0.0021205292    NA     1     1    19  1.5   NA    NA
+      692  #F8766D -0.1856275504 0.0021205292    NA     1     1    19  1.5   NA    NA
+      693  #F8766D  0.2240712615 0.0021205292    NA     1     1    19  1.5   NA    NA
+      694  #F8766D -0.1196281880 0.0021205292    NA     1     1    19  1.5   NA    NA
+      695  #F8766D  0.1182596058 0.0021205292    NA     1     1    19  1.5   NA    NA
+      696  #F8766D -0.1242485577 0.0021205292    NA     1     1    19  1.5   NA    NA
+      697  #F8766D  0.1166231228 0.0021205292    NA     1     1    19  1.5   NA    NA
+      698  #F8766D -0.1117726183 0.0021205292    NA     1     1    19  1.5   NA    NA
+      699  #F8766D -0.1099912395 0.0021205292    NA     1     1    19  1.5   NA    NA
+      700  #F8766D  0.2569032008 0.0021205292    NA     1     1    19  1.5   NA    NA
+      701  #F8766D  0.2161262297 0.0021205292    NA     1     1    19  1.5   NA    NA
+      702  #F8766D -0.1191410771 0.0021205292    NA     1     1    19  1.5   NA    NA
+      703  #F8766D  0.6383183965 0.0021205292    NA     1     1    19  1.5   NA    NA
+      704  #F8766D -0.1023531778 0.0021205292    NA     1     1    19  1.5   NA    NA
+      705  #F8766D -0.2264384429 0.0021205292    NA     1     1    19  1.5   NA    NA
+      706  #F8766D -0.1054468401 0.0021205292    NA     1     1    19  1.5   NA    NA
+      707  #F8766D  0.1137002104 0.0021205292    NA     1     1    19  1.5   NA    NA
+      708  #F8766D  0.1096371476 0.0021205292    NA     1     1    19  1.5   NA    NA
+      709  #F8766D -0.1120213702 0.0021205292    NA     1     1    19  1.5   NA    NA
+      710  #F8766D -0.2155871947 0.0021205292    NA     1     1    19  1.5   NA    NA
+      711  #F8766D -0.1201364726 0.0021205292    NA     1     1    19  1.5   NA    NA
+      712  #F8766D -0.1039928585 0.0021205292    NA     1     1    19  1.5   NA    NA
+      713  #F8766D  0.1034445241 0.0021205292    NA     1     1    19  1.5   NA    NA
+      714  #F8766D -0.3090990775 0.0021205292    NA     1     1    19  1.5   NA    NA
+      715  #F8766D  0.1043824468 0.0021205292    NA     1     1    19  1.5   NA    NA
+      716  #F8766D -0.2041651096 0.0021205292    NA     1     1    19  1.5   NA    NA
+      717  #F8766D -0.3423774218 0.0021205292    NA     1     1    19  1.5   NA    NA
+      718  #F8766D  0.1271547270 0.0021205292    NA     1     1    19  1.5   NA    NA
+      719  #F8766D -0.1137393357 0.0021205292    NA     1     1    19  1.5   NA    NA
+      720  #F8766D  0.4219475822 0.0021205292    NA     1     1    19  1.5   NA    NA
+      721  #F8766D  0.0983130021 0.0021205292    NA     1     1    19  1.5   NA    NA
+      722  #F8766D -0.1437199120 0.0021205292    NA     1     1    19  1.5   NA    NA
+      723  #F8766D  0.2160903880 0.0021205292    NA     1     1    19  1.5   NA    NA
+      724  #F8766D  0.0963915761 0.0021205292    NA     1     1    19  1.5   NA    NA
+      725  #F8766D -0.2177029761 0.0021205292    NA     1     1    19  1.5   NA    NA
+      726  #F8766D  0.0948389376 0.0021205292    NA     1     1    19  1.5   NA    NA
+      727  #F8766D -0.1176981727 0.0021205292    NA     1     1    19  1.5   NA    NA
+      728  #F8766D -0.1790024027 0.0021205292    NA     1     1    19  1.5   NA    NA
+      729  #F8766D  0.1849795781 0.0021205292    NA     1     1    19  1.5   NA    NA
+      730  #F8766D  0.1768664586 0.0021205292    NA     1     1    19  1.5   NA    NA
+      731  #F8766D -0.1076761404 0.0021205292    NA     1     1    19  1.5   NA    NA
+      732  #F8766D -0.0894660904 0.0021205292    NA     1     1    19  1.5   NA    NA
+      733  #F8766D  0.1031784033 0.0021205292    NA     1     1    19  1.5   NA    NA
+      734  #F8766D  0.1761504299 0.0021205292    NA     1     1    19  1.5   NA    NA
+      735  #F8766D  0.2164357528 0.0021205292    NA     1     1    19  1.5   NA    NA
+      736  #F8766D -0.1958538563 0.0021205292    NA     1     1    19  1.5   NA    NA
+      737  #F8766D -0.0891898481 0.0021205292    NA     1     1    19  1.5   NA    NA
+      738  #F8766D -0.1555460747 0.0021205292    NA     1     1    19  1.5   NA    NA
+      739  #F8766D -0.3050457371 0.0021205292    NA     1     1    19  1.5   NA    NA
+      740  #F8766D -0.1603878305 0.0021205292    NA     1     1    19  1.5   NA    NA
+      741  #F8766D -0.2650399619 0.0021205292    NA     1     1    19  1.5   NA    NA
+      742  #F8766D -0.0965032565 0.0021205292    NA     1     1    19  1.5   NA    NA
+      743  #F8766D  0.1736872318 0.0021205292    NA     1     1    19  1.5   NA    NA
+      744  #F8766D  0.0969998303 0.0021205292    NA     1     1    19  1.5   NA    NA
+      745  #F8766D -0.1507145088 0.0021205292    NA     1     1    19  1.5   NA    NA
+      746  #F8766D  0.2290330440 0.0021205292    NA     1     1    19  1.5   NA    NA
+      747  #F8766D  0.1507078400 0.0021205292    NA     1     1    19  1.5   NA    NA
+      748  #F8766D -0.0958640030 0.0021205292    NA     1     1    19  1.5   NA    NA
+      749  #F8766D  0.0935705421 0.0021205292    NA     1     1    19  1.5   NA    NA
+      750  #F8766D  0.0986783552 0.0021205292    NA     1     1    19  1.5   NA    NA
+      751  #F8766D -0.0976548550 0.0021205292    NA     1     1    19  1.5   NA    NA
+      752  #F8766D  0.0891638654 0.0021205292    NA     1     1    19  1.5   NA    NA
+      753  #F8766D  0.0909061982 0.0021205292    NA     1     1    19  1.5   NA    NA
+      754  #F8766D -0.1117476811 0.0021205292    NA     1     1    19  1.5   NA    NA
+      755  #F8766D -0.0960389399 0.0021205292    NA     1     1    19  1.5   NA    NA
+      756  #F8766D  0.1154393946 0.0021205292    NA     1     1    19  1.5   NA    NA
+      757  #F8766D  0.0974787296 0.0021205292    NA     1     1    19  1.5   NA    NA
+      758  #F8766D -0.0941529167 0.0021205292    NA     1     1    19  1.5   NA    NA
+      759  #F8766D  0.0835393988 0.0021205292    NA     1     1    19  1.5   NA    NA
+      760  #F8766D -0.2409418528 0.0021205292    NA     1     1    19  1.5   NA    NA
+      761  #F8766D -0.1139505407 0.0021205292    NA     1     1    19  1.5   NA    NA
+      762  #F8766D  0.0931799450 0.0021205292    NA     1     1    19  1.5   NA    NA
+      763  #F8766D  0.1741683955 0.0021205292    NA     1     1    19  1.5   NA    NA
+      764  #F8766D -0.0988583415 0.0021205292    NA     1     1    19  1.5   NA    NA
+      765  #F8766D  0.0762705505 0.0021205292    NA     1     1    19  1.5   NA    NA
+      766  #F8766D -0.0864541447 0.0021205292    NA     1     1    19  1.5   NA    NA
+      767  #F8766D -0.1446895232 0.0021205292    NA     1     1    19  1.5   NA    NA
+      768  #F8766D  0.1651605665 0.0021205292    NA     1     1    19  1.5   NA    NA
+      769  #F8766D -0.1410033212 0.0021205292    NA     1     1    19  1.5   NA    NA
+      770  #F8766D  0.0793807952 0.0021205292    NA     1     1    19  1.5   NA    NA
+      771  #F8766D  0.0901890069 0.0021205292    NA     1     1    19  1.5   NA    NA
+      772  #F8766D  0.1138312698 0.0021205292    NA     1     1    19  1.5   NA    NA
+      773  #F8766D  0.0887441285 0.0021205292    NA     1     1    19  1.5   NA    NA
+      774  #F8766D -0.0895067691 0.0021205292    NA     1     1    19  1.5   NA    NA
+      775  #F8766D  0.0773860460 0.0021205292    NA     1     1    19  1.5   NA    NA
+      776  #F8766D  0.1691571568 0.0021205292    NA     1     1    19  1.5   NA    NA
+      777  #F8766D  0.1005373841 0.0021205292    NA     1     1    19  1.5   NA    NA
+      778  #F8766D -0.1396078094 0.0021205292    NA     1     1    19  1.5   NA    NA
+      779  #F8766D  0.1475717262 0.0021205292    NA     1     1    19  1.5   NA    NA
+      780  #F8766D  0.1651526975 0.0021205292    NA     1     1    19  1.5   NA    NA
+      781  #F8766D  0.1323746339 0.0021205292    NA     1     1    19  1.5   NA    NA
+      782  #F8766D  0.0793807097 0.0021205292    NA     1     1    19  1.5   NA    NA
+      783  #F8766D -0.1784289866 0.0021205292    NA     1     1    19  1.5   NA    NA
+      784  #F8766D -0.1274328795 0.0021205292    NA     1     1    19  1.5   NA    NA
+      785  #F8766D  0.0741071465 0.0021205292    NA     1     1    19  1.5   NA    NA
+      786  #F8766D  0.1341253631 0.0021205292    NA     1     1    19  1.5   NA    NA
+      787  #F8766D  0.0709215911 0.0021205292    NA     1     1    19  1.5   NA    NA
+      788  #F8766D  0.0734128620 0.0021205292    NA     1     1    19  1.5   NA    NA
+      789  #F8766D  0.1338574669 0.0021205292    NA     1     1    19  1.5   NA    NA
+      790  #F8766D -0.0785810985 0.0021205292    NA     1     1    19  1.5   NA    NA
+      791  #F8766D  0.0788373390 0.0021205292    NA     1     1    19  1.5   NA    NA
+      792  #F8766D -0.1147049732 0.0021205292    NA     1     1    19  1.5   NA    NA
+      793  #F8766D  0.0806022074 0.0021205292    NA     1     1    19  1.5   NA    NA
+      794  #F8766D -0.1280701844 0.0021205292    NA     1     1    19  1.5   NA    NA
+      795  #F8766D  0.1387919817 0.0021205292    NA     1     1    19  1.5   NA    NA
+      796  #F8766D -0.1328880681 0.0021205292    NA     1     1    19  1.5   NA    NA
+      797  #F8766D  0.0947664377 0.0021205292    NA     1     1    19  1.5   NA    NA
+      798  #F8766D  0.0741395571 0.0021205292    NA     1     1    19  1.5   NA    NA
+      799  #F8766D -0.1257973220 0.0021205292    NA     1     1    19  1.5   NA    NA
+      800  #F8766D -0.0760130294 0.0021205292    NA     1     1    19  1.5   NA    NA
+      801  #F8766D  0.1307075542 0.0021205292    NA     1     1    19  1.5   NA    NA
+      802  #F8766D  0.1866296501 0.0021205292    NA     1     1    19  1.5   NA    NA
+      803  #F8766D -0.0670291358 0.0021205292    NA     1     1    19  1.5   NA    NA
+      804  #F8766D  0.1280532999 0.0021205292    NA     1     1    19  1.5   NA    NA
+      805  #F8766D -0.3175155187 0.0021205292    NA     1     1    19  1.5   NA    NA
+      806  #F8766D  0.1146118370 0.0021205292    NA     1     1    19  1.5   NA    NA
+      807  #F8766D  0.1417930995 0.0021205292    NA     1     1    19  1.5   NA    NA
+      808  #F8766D  0.0647804858 0.0021205292    NA     1     1    19  1.5   NA    NA
+      809  #F8766D -0.0660281188 0.0021205292    NA     1     1    19  1.5   NA    NA
+      810  #F8766D -0.0663936934 0.0021205292    NA     1     1    19  1.5   NA    NA
+      811  #F8766D  0.0753747097 0.0021205292    NA     1     1    19  1.5   NA    NA
+      812  #F8766D  0.1142480179 0.0021205292    NA     1     1    19  1.5   NA    NA
+      813  #F8766D -0.0695271693 0.0021205292    NA     1     1    19  1.5   NA    NA
+      814  #F8766D  0.0705930490 0.0021205292    NA     1     1    19  1.5   NA    NA
+      815  #F8766D -0.0687451054 0.0021205292    NA     1     1    19  1.5   NA    NA
+      816  #F8766D  0.0736944138 0.0021205292    NA     1     1    19  1.5   NA    NA
+      817  #F8766D  0.0603303759 0.0021205292    NA     1     1    19  1.5   NA    NA
+      818  #F8766D  0.1165853770 0.0021205292    NA     1     1    19  1.5   NA    NA
+      819  #F8766D -0.0625678560 0.0021205292    NA     1     1    19  1.5   NA    NA
+      820  #F8766D  0.1932362750 0.0021205292    NA     1     1    19  1.5   NA    NA
+      821  #F8766D  0.0590758782 0.0021205292    NA     1     1    19  1.5   NA    NA
+      822  #F8766D -0.0760540722 0.0021205292    NA     1     1    19  1.5   NA    NA
+      823  #F8766D  0.0668699875 0.0021205292    NA     1     1    19  1.5   NA    NA
+      824  #F8766D  0.0653126334 0.0021205292    NA     1     1    19  1.5   NA    NA
+      825  #F8766D -0.0700145882 0.0021205292    NA     1     1    19  1.5   NA    NA
+      826  #F8766D  0.1222089381 0.0021205292    NA     1     1    19  1.5   NA    NA
+      827  #F8766D  0.1060335846 0.0021205292    NA     1     1    19  1.5   NA    NA
+      828  #F8766D  0.0710110560 0.0021205292    NA     1     1    19  1.5   NA    NA
+      829  #F8766D -0.1083755249 0.0021205292    NA     1     1    19  1.5   NA    NA
+      830  #F8766D -0.0982783236 0.0021205292    NA     1     1    19  1.5   NA    NA
+      831  #F8766D -0.1037827163 0.0021205292    NA     1     1    19  1.5   NA    NA
+      832  #F8766D -0.0563115845 0.0021205292    NA     1     1    19  1.5   NA    NA
+      833  #F8766D -0.0604577743 0.0021205292    NA     1     1    19  1.5   NA    NA
+      834  #F8766D  0.1685521738 0.0021205292    NA     1     1    19  1.5   NA    NA
+      835  #F8766D -0.0572263550 0.0021205292    NA     1     1    19  1.5   NA    NA
+      836  #F8766D  0.0536394649 0.0021205292    NA     1     1    19  1.5   NA    NA
+      837  #F8766D  0.0575017434 0.0021205292    NA     1     1    19  1.5   NA    NA
+      838  #F8766D  0.0896542573 0.0021205292    NA     1     1    19  1.5   NA    NA
+      839  #F8766D -0.0688024680 0.0021205292    NA     1     1    19  1.5   NA    NA
+      840  #F8766D  0.0556690225 0.0021205292    NA     1     1    19  1.5   NA    NA
+      841  #F8766D  0.0530405741 0.0021205292    NA     1     1    19  1.5   NA    NA
+      842  #F8766D  0.0563199592 0.0021205292    NA     1     1    19  1.5   NA    NA
+      843  #F8766D -0.0693782794 0.0021205292    NA     1     1    19  1.5   NA    NA
+      844  #F8766D  0.0534827987 0.0021205292    NA     1     1    19  1.5   NA    NA
+      845  #F8766D -0.0589335814 0.0021205292    NA     1     1    19  1.5   NA    NA
+      846  #F8766D -0.0551522889 0.0021205292    NA     1     1    19  1.5   NA    NA
+      847  #F8766D  0.0555197212 0.0021205292    NA     1     1    19  1.5   NA    NA
+      848  #F8766D -0.3070298167 0.0021205292    NA     1     1    19  1.5   NA    NA
+      849  #F8766D  0.0512459575 0.0021205292    NA     1     1    19  1.5   NA    NA
+      850  #F8766D  0.0964633343 0.0021205292    NA     1     1    19  1.5   NA    NA
+      851  #F8766D -0.0534780797 0.0021205292    NA     1     1    19  1.5   NA    NA
+      852  #F8766D -0.1562307213 0.0021205292    NA     1     1    19  1.5   NA    NA
+      853  #F8766D  0.0493086515 0.0021205292    NA     1     1    19  1.5   NA    NA
+      854  #F8766D -0.0659017153 0.0021205292    NA     1     1    19  1.5   NA    NA
+      855  #F8766D  0.0556383447 0.0021205292    NA     1     1    19  1.5   NA    NA
+      856  #F8766D  0.0666844001 0.0021205292    NA     1     1    19  1.5   NA    NA
+      857  #F8766D  0.0479604493 0.0021205292    NA     1     1    19  1.5   NA    NA
+      858  #F8766D  0.0492552864 0.0021205292    NA     1     1    19  1.5   NA    NA
+      859  #F8766D -0.0540338349 0.0021205292    NA     1     1    19  1.5   NA    NA
+      860  #F8766D -0.0552456271 0.0021205292    NA     1     1    19  1.5   NA    NA
+      861  #F8766D  0.0594935859 0.0021205292    NA     1     1    19  1.5   NA    NA
+      862  #F8766D  0.0502853689 0.0021205292    NA     1     1    19  1.5   NA    NA
+      863  #F8766D  0.0840779930 0.0021205292    NA     1     1    19  1.5   NA    NA
+      864  #F8766D  0.1641085112 0.0021205292    NA     1     1    19  1.5   NA    NA
+      865  #F8766D  0.0456071670 0.0021205292    NA     1     1    19  1.5   NA    NA
+      866  #F8766D  0.0557988684 0.0021205292    NA     1     1    19  1.5   NA    NA
+      867  #F8766D -0.0838182578 0.0021205292    NA     1     1    19  1.5   NA    NA
+      868  #F8766D  0.0614253690 0.0021205292    NA     1     1    19  1.5   NA    NA
+      869  #F8766D -0.0531671695 0.0021205292    NA     1     1    19  1.5   NA    NA
+      870  #F8766D  0.0493810519 0.0021205292    NA     1     1    19  1.5   NA    NA
+      871  #F8766D  0.0420646831 0.0021205292    NA     1     1    19  1.5   NA    NA
+      872  #F8766D -0.1027994914 0.0021205292    NA     1     1    19  1.5   NA    NA
+      873  #F8766D -0.0438392986 0.0021205292    NA     1     1    19  1.5   NA    NA
+      874  #F8766D -0.1441591245 0.0021205292    NA     1     1    19  1.5   NA    NA
+      875  #F8766D  0.0936004710 0.0021205292    NA     1     1    19  1.5   NA    NA
+      876  #F8766D -0.1264959838 0.0021205292    NA     1     1    19  1.5   NA    NA
+      877  #F8766D  0.0715737519 0.0021205292    NA     1     1    19  1.5   NA    NA
+      878  #F8766D  0.0660657820 0.0021205292    NA     1     1    19  1.5   NA    NA
+      879  #F8766D  0.0445552549 0.0021205292    NA     1     1    19  1.5   NA    NA
+      880  #F8766D -0.0467331309 0.0021205292    NA     1     1    19  1.5   NA    NA
+      881  #F8766D -0.0964685144 0.0021205292    NA     1     1    19  1.5   NA    NA
+      882  #F8766D  0.0366777378 0.0021205292    NA     1     1    19  1.5   NA    NA
+      883  #F8766D -0.0719719496 0.0021205292    NA     1     1    19  1.5   NA    NA
+      884  #F8766D -0.0362226473 0.0021205292    NA     1     1    19  1.5   NA    NA
+      885  #F8766D -0.0411197243 0.0021205292    NA     1     1    19  1.5   NA    NA
+      886  #F8766D  0.0723366582 0.0021205292    NA     1     1    19  1.5   NA    NA
+      887  #F8766D  0.0433963664 0.0021205292    NA     1     1    19  1.5   NA    NA
+      888  #F8766D -0.0416232166 0.0021205292    NA     1     1    19  1.5   NA    NA
+      889  #F8766D -0.0686382005 0.0021205292    NA     1     1    19  1.5   NA    NA
+      890  #F8766D -0.0379761836 0.0021205292    NA     1     1    19  1.5   NA    NA
+      891  #F8766D  0.0408156030 0.0021205292    NA     1     1    19  1.5   NA    NA
+      892  #F8766D -0.0390167599 0.0021205292    NA     1     1    19  1.5   NA    NA
+      893  #F8766D -0.0382459696 0.0021205292    NA     1     1    19  1.5   NA    NA
+      894  #F8766D  0.0577964419 0.0021205292    NA     1     1    19  1.5   NA    NA
+      895  #F8766D -0.0396662557 0.0021205292    NA     1     1    19  1.5   NA    NA
+      896  #F8766D -0.0605149543 0.0021205292    NA     1     1    19  1.5   NA    NA
+      897  #F8766D  0.0688186421 0.0021205292    NA     1     1    19  1.5   NA    NA
+      898  #F8766D -0.0482017294 0.0021205292    NA     1     1    19  1.5   NA    NA
+      899  #F8766D -0.0336265430 0.0021205292    NA     1     1    19  1.5   NA    NA
+      900  #F8766D  0.0338695082 0.0021205292    NA     1     1    19  1.5   NA    NA
+      901  #F8766D  0.0595494630 0.0021205292    NA     1     1    19  1.5   NA    NA
+      902  #F8766D -0.0631153089 0.0021205292    NA     1     1    19  1.5   NA    NA
+      903  #F8766D  0.0805217632 0.0021205292    NA     1     1    19  1.5   NA    NA
+      904  #F8766D  0.0333069459 0.0021205292    NA     1     1    19  1.5   NA    NA
+      905  #F8766D  0.0656327966 0.0021205292    NA     1     1    19  1.5   NA    NA
+      906  #F8766D -0.0333675045 0.0021205292    NA     1     1    19  1.5   NA    NA
+      907  #F8766D  0.0400244492 0.0021205292    NA     1     1    19  1.5   NA    NA
+      908  #F8766D -0.0317409058 0.0021205292    NA     1     1    19  1.5   NA    NA
+      909  #F8766D  0.0373372007 0.0021205292    NA     1     1    19  1.5   NA    NA
+      910  #F8766D  0.0352136125 0.0021205292    NA     1     1    19  1.5   NA    NA
+      911  #F8766D  0.0329178311 0.0021205292    NA     1     1    19  1.5   NA    NA
+      912  #F8766D -0.0525865529 0.0021205292    NA     1     1    19  1.5   NA    NA
+      913  #F8766D -0.0327414191 0.0021205292    NA     1     1    19  1.5   NA    NA
+      914  #F8766D  0.0583344815 0.0021205292    NA     1     1    19  1.5   NA    NA
+      915  #F8766D -0.0274704273 0.0021205292    NA     1     1    19  1.5   NA    NA
+      916  #F8766D  0.0277857965 0.0021205292    NA     1     1    19  1.5   NA    NA
+      917  #F8766D  0.0330327897 0.0021205292    NA     1     1    19  1.5   NA    NA
+      918  #F8766D -0.0290578456 0.0021205292    NA     1     1    19  1.5   NA    NA
+      919  #F8766D -0.0310774934 0.0021205292    NA     1     1    19  1.5   NA    NA
+      920  #F8766D  0.0277849434 0.0021205292    NA     1     1    19  1.5   NA    NA
+      921  #F8766D  0.0271649093 0.0021205292    NA     1     1    19  1.5   NA    NA
+      922  #F8766D  0.0326730732 0.0021205292    NA     1     1    19  1.5   NA    NA
+      923  #F8766D -0.0308633324 0.0021205292    NA     1     1    19  1.5   NA    NA
+      924  #F8766D  0.0435288689 0.0021205292    NA     1     1    19  1.5   NA    NA
+      925  #F8766D -0.0462404136 0.0021205292    NA     1     1    19  1.5   NA    NA
+      926  #F8766D -0.0434756905 0.0021205292    NA     1     1    19  1.5   NA    NA
+      927  #F8766D  0.0281258711 0.0021205292    NA     1     1    19  1.5   NA    NA
+      928  #F8766D -0.0258330167 0.0021205292    NA     1     1    19  1.5   NA    NA
+      929  #F8766D -0.0570153076 0.0021205292    NA     1     1    19  1.5   NA    NA
+      930  #F8766D -0.0249357314 0.0021205292    NA     1     1    19  1.5   NA    NA
+      931  #F8766D  0.0249339630 0.0021205292    NA     1     1    19  1.5   NA    NA
+      932  #F8766D  0.0288366523 0.0021205292    NA     1     1    19  1.5   NA    NA
+      933  #F8766D -0.0530695816 0.0021205292    NA     1     1    19  1.5   NA    NA
+      934  #F8766D -0.0226929515 0.0021205292    NA     1     1    19  1.5   NA    NA
+      935  #F8766D -0.0227843898 0.0021205292    NA     1     1    19  1.5   NA    NA
+      936  #F8766D -0.0364819327 0.0021205292    NA     1     1    19  1.5   NA    NA
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+      939  #F8766D -0.0344238837 0.0021205292    NA     1     1    19  1.5   NA    NA
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+      942  #F8766D  0.0326342308 0.0021205292    NA     1     1    19  1.5   NA    NA
+      943  #F8766D -0.0234082297 0.0021205292    NA     1     1    19  1.5   NA    NA
+      944  #F8766D  0.0228532792 0.0021205292    NA     1     1    19  1.5   NA    NA
+      945  #F8766D  0.0328665526 0.0021205292    NA     1     1    19  1.5   NA    NA
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+      1000 #F8766D -0.0004169929 0.0002410797    NA     1     1    19  1.5   NA    NA
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+      959     0.5
+      960     0.5
+      961     0.5
+      962     0.5
+      963     0.5
+      964     0.5
+      965     0.5
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+      967     0.5
+      968     0.5
+      969     0.5
+      970     0.5
+      971     0.5
+      972     0.5
+      973     0.5
+      974     0.5
+      975     0.5
+      976     0.5
+      977     0.5
+      978     0.5
+      979     0.5
+      980     0.5
+      981     0.5
+      982     0.5
+      983     0.5
+      984     0.5
+      985     0.5
+      986     0.5
+      987     0.5
+      988     0.5
+      989     0.5
+      990     0.5
+      991     0.5
+      992     0.5
+      993     0.5
+      994     0.5
+      995     0.5
+      996     0.5
+      997     0.5
+      998     0.5
+      999     0.5
+      1000    0.5
 
diff --git a/tests/testthat/test-volcanoplot.R b/tests/testthat/test-volcanoplot.R
index c394f88c..aa82ab48 100644
--- a/tests/testthat/test-volcanoplot.R
+++ b/tests/testthat/test-volcanoplot.R
@@ -44,13 +44,14 @@ test_that("volcanoplot module works as expected in the test app", {
 
   # Select an initial group variable.
   app$set_inputs(!!ns("compare_group-sample_var") := "AGE18")
-  app$wait_for_idle()
+  app$wait_for_idle(timeout = 30000)
 
   res <- app$get_value(output = ns("test"))
   expect_snapshot(cat(res))
 
   # Now change the log2_fc_thresh and check that the plot is updated accordingly.
   app$set_inputs(!!ns("log2_fc_thresh") := 8)
+  app$wait_for_idle(timeout = 30000)
 
   res <- app$get_value(output = ns("test"))
   expect_snapshot(cat(res))

From a41cc26abd756500e7fac0cb0b053fd246ae895b Mon Sep 17 00:00:00 2001
From: danielinteractive <danielinteractive@users.noreply.github.com>
Date: Wed, 27 Mar 2024 09:04:55 +0000
Subject: [PATCH 12/14] [skip actions] Bump version to 0.1.6.9009

---
 DESCRIPTION | 4 ++--
 NEWS.md     | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index ce01387f..bb4f60c2 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Type: Package
 Package: teal.modules.hermes
 Title: RNA-Seq Analysis Modules to Add to a Teal Application
-Version: 0.1.6.9008
-Date: 2024-03-25
+Version: 0.1.6.9009
+Date: 2024-03-27
 Authors@R: c(
     person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@roche.com", role = c("aut", "cre")),
     person("Nikolas", "Burkoff", role = "aut"),
diff --git a/NEWS.md b/NEWS.md
index dbfbcb05..ed2987a7 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# teal.modules.hermes 0.1.6.9008
+# teal.modules.hermes 0.1.6.9009
 
 ### Miscellaneous
 * Added placeholders for `assaySpec`, `adtteSpec` and `geneSpec` inputs when no option is selected.

From c09cab7064d9c30460f53f8615fc43b80340e625 Mon Sep 17 00:00:00 2001
From: b_falquet <64274616+BFalquet@users.noreply.github.com>
Date: Tue, 2 Apr 2024 16:53:12 +0200
Subject: [PATCH 13/14] adapt timeout (#376)

increase timeout.

thank you for the review

---------

Co-authored-by: benoit <benoit.falquet@roche.com>
---
 DESCRIPTION               | 3 ++-
 NAMESPACE                 | 1 +
 R/barplot.R               | 2 +-
 R/boxplot.R               | 2 +-
 R/package.R               | 1 +
 tests/testthat/test-pca.R | 4 ++--
 6 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index bb4f60c2..eb1fc5db 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -52,7 +52,8 @@ Imports:
     teal.logger (>= 0.1.3.9013),
     teal.reporter (>= 0.2.0),
     teal.widgets (>= 0.4.0),
-    tern (>= 0.7.10)
+    tern (>= 0.7.10),
+    utils
 Suggests:
     BiocStyle,
     covr,
diff --git a/NAMESPACE b/NAMESPACE
index cccf61a1..b526f3bd 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -73,3 +73,4 @@ import(teal.data)
 importFrom(S4Vectors,DataFrame)
 importFrom(S4Vectors,setListElement)
 importFrom(lifecycle,deprecate_soft)
+importFrom(utils,str)
diff --git a/R/barplot.R b/R/barplot.R
index c204e596..d58482fa 100644
--- a/R/barplot.R
+++ b/R/barplot.R
@@ -201,7 +201,7 @@ srv_g_barplot <- function(id,
 
     if (.test) {
       table_r <- reactive({
-        str(layer_data(plot_r()))
+        utils::str(layer_data(plot_r()))
       })
       output$table <- renderPrint(table_r())
     }
diff --git a/R/boxplot.R b/R/boxplot.R
index b275be4c..b8b39e3b 100644
--- a/R/boxplot.R
+++ b/R/boxplot.R
@@ -195,7 +195,7 @@ srv_g_boxplot <- function(id,
 
     if (.test) {
       table_r <- reactive({
-        str(layer_data(plot_r()))
+        utils::str(layer_data(plot_r()))
       })
       output$table <- renderPrint(table_r())
     }
diff --git a/R/package.R b/R/package.R
index e21acf41..035989a3 100644
--- a/R/package.R
+++ b/R/package.R
@@ -10,4 +10,5 @@
 #' @import teal teal.data
 #' @importFrom S4Vectors setListElement DataFrame
 #' @importFrom lifecycle deprecate_soft
+#' @importFrom utils str
 NULL
diff --git a/tests/testthat/test-pca.R b/tests/testthat/test-pca.R
index 8fe6205b..0c2115a7 100644
--- a/tests/testthat/test-pca.R
+++ b/tests/testthat/test-pca.R
@@ -97,7 +97,7 @@ test_that("pca module works as expected in the test app", {
   )
 
   # Now update experiment name, assay name, cluster & matrix option on correlation tab.
-  app$set_inputs(!!ns("experiment-name") := "hd2")
+  app$set_inputs(!!ns("experiment-name") := "hd2", timeout_ = 30000)
   app$set_inputs(!!ns("assay-name") := "voom")
   app$set_inputs(!!ns("cluster_columns") := TRUE)
   app$set_inputs(!!ns("show_matrix") := FALSE)
@@ -117,7 +117,7 @@ test_that("pca module works as expected in the test app", {
   app$set_inputs(!!ns("var_pct") := FALSE)
   app$set_inputs(!!ns("label") := FALSE)
 
-  app$wait_for_idle()
+  app$wait_for_idle(timeout = 30000)
   res <- app$get_value(output = ns("test_pca"))
   expect_snapshot(
     cat(res)

From 37fc2a6171fce2eaba854d95418f9b8917b17bbc Mon Sep 17 00:00:00 2001
From: BFalquet <BFalquet@users.noreply.github.com>
Date: Tue, 2 Apr 2024 14:54:12 +0000
Subject: [PATCH 14/14] [skip actions] Bump version to 0.1.6.9010

---
 .pre-commit-config.yaml | 2 +-
 DESCRIPTION             | 4 ++--
 NEWS.md                 | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 84f0a320..50710b55 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -6,7 +6,7 @@ default_language_version:
   python: python3
 repos:
   - repo: https://github.com/lorenzwalthert/precommit
-    rev: v0.4.0
+    rev: v0.4.1
     hooks:
       - id: style-files
         name: Style code with `styler`
diff --git a/DESCRIPTION b/DESCRIPTION
index eb1fc5db..34c653ea 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Type: Package
 Package: teal.modules.hermes
 Title: RNA-Seq Analysis Modules to Add to a Teal Application
-Version: 0.1.6.9009
-Date: 2024-03-27
+Version: 0.1.6.9010
+Date: 2024-04-02
 Authors@R: c(
     person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@roche.com", role = c("aut", "cre")),
     person("Nikolas", "Burkoff", role = "aut"),
diff --git a/NEWS.md b/NEWS.md
index ed2987a7..de8aac06 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# teal.modules.hermes 0.1.6.9009
+# teal.modules.hermes 0.1.6.9010
 
 ### Miscellaneous
 * Added placeholders for `assaySpec`, `adtteSpec` and `geneSpec` inputs when no option is selected.