Package: reproducibleRchunks 1.2.0

Andreas M. Brandmaier

reproducibleRchunks: Automated Reproducibility Checks for R Markdown Documents

Provide reproducible R chunks in R Markdown document that automatically check computational results for reproducibility. This is achieved by creating json files storing metadata about computational results. A comprehensive tutorial to the package is available as preprint by Brandmaier & Peikert (2024, <doi:10.31234/osf.io/3zjvf>).

Authors:Andreas M. Brandmaier [aut, cre], Aaron Peikert [ctb]

reproducibleRchunks_1.2.0.tar.gz
reproducibleRchunks_1.2.0.zip(r-4.7)reproducibleRchunks_1.2.0.zip(r-4.6)reproducibleRchunks_1.2.0.zip(r-4.5)
reproducibleRchunks_1.2.0.tgz(r-4.6-any)reproducibleRchunks_1.2.0.tgz(r-4.5-any)
reproducibleRchunks_1.2.0.tar.gz(r-4.7-any)reproducibleRchunks_1.2.0.tar.gz(r-4.6-any)
reproducibleRchunks_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
reproducibleRchunks/json (API)

# Install 'reproducibleRchunks' in R:
install.packages('reproducibleRchunks', repos = c('https://brandmaier.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/brandmaier/reproduciblerchunks/issues

On CRAN:

Conda:

reproducibility

7.33 score 37 stars 24 scripts 295 downloads 9 exports 26 dependencies

Last updated from:dfb8d9bfb5. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING129
source / vignettesOK180
linux-release-x86_64WARNING130
macos-release-arm64WARNING98
macos-oldrel-arm64WARNING109
windows-develWARNING75
windows-releaseWARNING109
windows-oldrelWARNING69
wasm-releaseOK155

Exports:gather_package_namesget_num_reproducibility_errorsget_reproducibility_summaryisReproducibleload_repro_datareproducibleRresetsave_repro_datause_github_action

Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefshighrhtmltoolsjquerylibjsonliteknitrlifecyclememoisemimeR6rappdirsrlangrmarkdownrstudioapisasstinytexxfunyaml

Custom Reports
Styling of chunk-level reports | Cereals | Linear Model | Random Numbers | Report
Rendered fromcustom_reports.Rmdusingknitr::rmarkdown

Last update: 2025-07-23
Started: 2025-07-04

Using renv with reproducibleRchunks
Introduction | Creating a project | Running a factor analysis | Restoring the environment | GitHub actions
Rendered fromrenv_example.Rmdusingknitr::rmarkdown

Last update: 2025-07-23
Started: 2025-07-23

Use Case: Linear Regression with Outlier Correction and Bootstrap
Load Data | Outlier Correction | Linear Regression | Bootstrap Coefficients | Plot
Rendered fromregression_example.Rmdusingknitr::rmarkdown

Last update: 2025-07-04
Started: 2025-07-03

Plots
Plot
Rendered fromplots.Rmdusingknitr::rmarkdown

Last update: 2025-07-02
Started: 2025-07-02

Use Case: A Simulation Study using Random Numbers
Simulate Data
Rendered fromuse_case_simulation.Rmdusingknitr::rmarkdown

Last update: 2025-07-02
Started: 2025-07-02

A Minimal Example
Setup | Using reproducible code chunks
Rendered fromminimal_example.Rmdusingknitr::rmarkdown

Last update: 2025-07-02
Started: 2025-07-02