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^\.Rproj\.user$ | ||
^extras$ | ||
^LICENSE\.md$ | ||
^README\.Rmd$ |
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x <- c(1, 2, 3, 4, 5) | ||
expand.grid(c) | ||
expand.grid(x) | ||
expand.grid(rep(list(x), length(x))) | ||
5*5*5*5*5 | ||
lapply(names, c(0, 1)) | ||
lapply(names, function(x){c(0, 1)}) | ||
names | ||
names <- c("cohort1", "cohort2", "cohort3", "cohort3") | ||
names <- c("cohort1", "cohort2", "cohort3", "cohort4") | ||
lapply(names, function(x){c(0, 1)}) | ||
lapply(names, function(x){c(0, 1)}) |> | ||
expand.grid() | ||
lapply(names, function(x){c(0, 1)}) |> | ||
expand.grid() |> | ||
rlang::set_names(name) | ||
lapply(names, function(x){c(0, 1)}) |> | ||
expand.grid() |> | ||
rlang::set_names(names) | ||
lapply(names, function(x){c(0, 1)}) |> | ||
expand.grid() |> | ||
rlang::set_names(names) |> | ||
dplyr::as_tibble() | ||
lapply(names, function(x){c(0, 1)}) |> | ||
expand.grid() |> | ||
rlang::set_names(names) |> | ||
dplyr::as_tibble() %>% | ||
dplyr::mutate("cohort_definition_id" = dplyr::row_number()) | ||
lapply(names, function(x){c(0, 1)}) |> | ||
expand.grid() |> | ||
rlang::set_names(names) |> | ||
dplyr::as_tibble() |> | ||
dplyr::mutate("cohort_definition_id" = dplyr::row_number()) | ||
getCohortSetMutuallyEclusive <- function(names) { | ||
lapply(names, function(x){c(0, 1)}) |> | ||
expand.grid() |> | ||
rlang::set_names(names) |> | ||
dplyr::as_tibble() |> | ||
dplyr::mutate("cohort_definition_id" = dplyr::row_number()) | ||
} | ||
getCohortSetMutuallyEclusive(names) |
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.Rproj.user | ||
.Rhistory | ||
.Rdata | ||
.httr-oauth | ||
.DS_Store |
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--- | ||
output: github_document | ||
--- | ||
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<!-- README.md is generated from README.Rmd. Please edit that file --> | ||
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```{r, include = FALSE} | ||
knitr::opts_chunk$set( | ||
collapse = TRUE, | ||
comment = "#>", | ||
fig.path = "man/figures/README-", | ||
out.width = "100%" | ||
) | ||
``` | ||
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# CohortConstructor | ||
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<!-- badges: start --> | ||
[![CRAN status](https://www.r-pkg.org/badges/version/CohortConstructor)](https://CRAN.R-project.org/package=CohortConstructor) | ||
[![codecov.io](https://codecov.io/github/oxford-pharmacoepi/CohortConstructor/coverage.svg?branch=main)](https://app.codecov.io/github/oxford-pharmacoepi/CohortConstructor?branch=main) | ||
[![R-CMD-check](https://github.com/oxford-pharmacoepi/CohortConstructor/workflows/R-CMD-check/badge.svg)](https://github.com/oxford-pharmacoepi/CohortConstructor/actions) | ||
[![Lifecycle:Experimental](https://img.shields.io/badge/Lifecycle-Experimental-339999)](https://lifecycle.r-lib.org/articles/stages.html#experimental) | ||
<!-- badges: end --> | ||
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The goal of CohortConstructor is to help on the creation of cohorts in the OMOP Common Data Model. | ||
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## Installation | ||
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You can install the development version of CohortConstructor from [GitHub](https://github.com/) with: | ||
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``` {r, eval = FALSE} | ||
# install.packages("devtools") | ||
devtools::install_github("oxford-pharmacoepi/CohortConstructor") | ||
``` | ||
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## Example | ||
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Generate a combination cohort. | ||
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```{r} | ||
library(PatientProfiles) | ||
library(CohortConstructor) | ||
library(CDMConnector) | ||
cdm <- mockPatientProfiles() | ||
cdm <- generateCombinationCohortSet(cdm = cdm, name = "cohort3", targetCohortName = "cohort2") | ||
cdm$cohort3 | ||
cohortSet(cdm$cohort3) | ||
cdmDisconnect(cdm) | ||
``` | ||
|
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<!-- README.md is generated from README.Rmd. Please edit that file --> | ||
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# CohortConstructor | ||
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<!-- badges: start --> | ||
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[![CRAN | ||
status](https://www.r-pkg.org/badges/version/CohortConstructor)](https://CRAN.R-project.org/package=CohortConstructor) | ||
[![codecov.io](https://codecov.io/github/oxford-pharmacoepi/CohortConstructor/coverage.svg?branch=main)](https://app.codecov.io/github/oxford-pharmacoepi/CohortConstructor?branch=main) | ||
[![R-CMD-check](https://github.com/oxford-pharmacoepi/CohortConstructor/workflows/R-CMD-check/badge.svg)](https://github.com/oxford-pharmacoepi/CohortConstructor/actions) | ||
[![Lifecycle:Experimental](https://img.shields.io/badge/Lifecycle-Experimental-339999)](https://lifecycle.r-lib.org/articles/stages.html#experimental) | ||
<!-- badges: end --> | ||
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||
The goal of CohortConstructor is to help on the creation of cohorts in | ||
the OMOP Common Data Model. | ||
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||
## Installation | ||
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You can install the development version of CohortConstructor from | ||
[GitHub](https://github.com/) with: | ||
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``` r | ||
# install.packages("devtools") | ||
devtools::install_github("oxford-pharmacoepi/CohortConstructor") | ||
``` | ||
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## Example | ||
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Generate a combination cohort. | ||
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``` r | ||
library(PatientProfiles) | ||
#> Warning: package 'PatientProfiles' was built under R version 4.2.3 | ||
library(CohortConstructor) | ||
library(CDMConnector) | ||
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cdm <- mockPatientProfiles() | ||
cdm <- generateCombinationCohortSet(cdm = cdm, name = "cohort3", targetCohortName = "cohort2") | ||
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cdm$cohort3 | ||
#> # Source: table<cohort3> [4 x 4] | ||
#> # Database: DuckDB 0.7.1 [martics@Windows 10 x64:R 4.2.1/:memory:] | ||
#> cohort_definition_id subject_id cohort_start_date cohort_end_date | ||
#> <int> <dbl> <date> <date> | ||
#> 1 2 1 2020-05-25 2020-05-25 | ||
#> 2 1 1 2019-12-30 2019-12-30 | ||
#> 3 1 1 2020-05-25 2020-05-25 | ||
#> 4 3 1 2020-05-25 2020-05-25 | ||
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cohortSet(cdm$cohort3) | ||
#> # A tibble: 7 × 6 | ||
#> cohort_definition_id cohort_name cohort_1 cohort_2 cohort_3 mutually_exclusive | ||
#> <int> <chr> <dbl> <dbl> <dbl> <lgl> | ||
#> 1 1 cohort_1 1 NA NA FALSE | ||
#> 2 2 cohort_2 NA 1 NA FALSE | ||
#> 3 3 cohort_1+c… 1 1 NA FALSE | ||
#> 4 4 cohort_3 NA NA 1 FALSE | ||
#> 5 5 cohort_1+c… 1 NA 1 FALSE | ||
#> 6 6 cohort_2+c… NA 1 1 FALSE | ||
#> 7 7 cohort_1+c… 1 1 1 FALSE | ||
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cdmDisconnect(cdm) | ||
``` |