Workflow for Open Reproducible Code in Science
Add endpoint to WORCS project
Add License File to Project
Add Rmarkdown manuscript
Add Rmarkdown preregistration
Add Recipe to Generate Endpoints
Add synthetic data to WORCS project
Add targets to WORCS Project
Check endpoints in WORCS project
Check worcs dependencies
Evaluate project with respect to WORCS checklist
Comprehensive citation Knit function for 'RStudio'
Essential citations Knit function for 'RStudio'
Use closed data in WORCS project
Create codebook for a dataset
Label factor variables using metadata
Drop value labels
Describe a dataset
Export project to .zip file
Modify .gitignore file
Connect to Existing 'GitHub' Repository
Create a New 'GitHub' Repository
Add, commit, and push changes.
Set global 'Git' credentials
Set up GitHub Actions to Check Endpoints
Check whether global 'Git' credentials exist
Load WORCS project data
Load project entry points
Notify the user when synthetic data are being used
Use open data in WORCS project
Report formatted number
Reproduce WORCS Project
Calculate skew and kurtosis
Snapshot endpoints in WORCS project
Generate synthetic data
Add WORCS badge to README.md
Create new WORCS project
Create reproducible and transparent research projects in 'R'. This package is based on the Workflow for Open Reproducible Code in Science (WORCS), a step-by-step procedure based on best practices for Open Science. It includes an 'RStudio' project template, several convenience functions, and all dependencies required to make your project reproducible and transparent. WORCS is explained in the tutorial paper by Van Lissa, Brandmaier, Brinkman, Lamprecht, Struiksma, & Vreede (2021). <doi:10.3233/DS-210031>.