This R package contains synthetic CDISC data released during 2022. This synthetic data can be used as test data when developing teal applications, or statistical analysis functions. Due to the data not been derived from a real clinical trial, it provides an excellent method for generating reproducible examples when reporting errors.

Once this package is installed, it is recommended to use the scda package to access this synthetic data rather than using this package directly.

The data name convention in this package is <domain>_<?area?>_<added on date> and you can query the available data with

data(package = "scda.2022")

It is recommended that you create and use a Github PAT to install the latest version of this package. Once you have the PAT, run the following:

Sys.setenv(GITHUB_PAT = "your_access_token_here")
if (!require("remotes")) install.packages("remotes")
remotes::install_github("insightsengineering/scda.2022@*release")

A stable release of all NEST packages from June 2022 is also available here.

The data in this package is an accumulation of datasets over time that were needed for documentation and unit testing code. We do not attempt to ensure this data is reproducible. The git repository has the folder data_raw which contains the scripts used to create some of the data.