Internal repository to store tests that utilize datasets from the random.cdisc.data
package. Repository tests TLG sample templates to verify functionality and correct output. Template tests were migrated here from the tern
package in February 2023.
The scda.test
package has several dependencies required to run the tests within this package. Before installing the scda.test
repository, please ensure you have the latest versions of the tern
and random.cdisc.data
packages installed. Installation instructions are provided for each at these links:
This repository is internal and must be cloned and installed manually from GitHub.
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Clone the repository
The repository can be downloaded directly from the
github.com
site as an archive (see the GitHub tutorial on cloning to learn more). Alternatively, Git command line tools offer the same functionality, without the need for manual downloading and unpacking the archive, but require you to authenticate GitHub. You can authenticate using a key pair or a Personal Access Token (PAT). Please refer to GitHub tutorials on connecting to GitHub using SSH or creating and using a PAT.-
Using a PAT: Input in the Git Bash console, PowerShell, or any Linux shell:
$ git clone https://github.com/insightsengineering/scda.test.git Username: your_username_goes_here Password: your_token_goes_here
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Using SSH: If set up properly, the repository is ready to be cloned by executing:
git clone https://github.com/insightsengineering/scda.test.git
This creates a subdirectory
scda.test
containing the cloned repository.
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Build and install
Native R tools provide a quick way to install a package. Alternatively, to build the package and create an archive run in PowerShell or any Linux shell:
R CMD build scda.test