Learn R Programming

⚠️There's a newer version (0.1.17) of this package.Take me there.

worcs (version 0.1.2)

Workflow for Open Reproducible Code in Science

Description

Create reproducible and transparent research projects in 'R', with a minimal amount of code. 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 (2020). .

Copy Link

Version

Install

install.packages('worcs')

Monthly Downloads

691

Version

0.1.2

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Caspar van Lissa

Last Published

May 30th, 2020

Functions in worcs (0.1.2)

cite_essential

Essential citations Knit function for 'RStudio'
load_data

Load WORCS project data
open_data

Use open data in WORCS project
descriptives

Describe a dataset
make_codebook

Create codebook for a dataset
worcs_badge

Add WORCS badge to README.md
worcs_checklist

WORCS checklist
cite_all

Comprehensive citation Knit function for 'RStudio'
synthetic

Generate synthetic data
skew_kurtosis

Calculate skew and kurtosis
closed_data

Use closed data in WORCS project
worcs_project

Create new WORCS project
export_project

Export project to .zip file
git_update

Add, commit, and push changes.
git_user

Set global 'Git' credentials
check_worcs

Evaluate project with respect to WORCS checklist
has_git_user

Check whether global 'Git' credentials exist