worcs v0.1.2

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Workflow for Open Reproducible Code in Science

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). <doi:10.17605/OSF.IO/ZCVBS>.

Functions in worcs

Name Description
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
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Vignettes of worcs

Name
citation.Rmd
gh_release.png
git_cloud.Rmd
scholar_bib.png
setup.Rmd
vignettes.bib
workflow.Rmd
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Details

Type Package
Date 2020-05-29
License GPL (>= 3)
Encoding UTF-8
LazyData true
URL https://github.com/cjvanlissa/worcs
RoxygenNote 7.1.0
VignetteBuilder knitr
NeedsCompilation no
Packaged 2020-05-30 08:58:52 UTC; Lissa102
Repository CRAN
Date/Publication 2020-05-30 12:50:02 UTC

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