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Checking a reproducible data analysis using make, git, and R: Testing with new data! (CC075)
The workflowr R package: a framework for reproducible and collaborative data science
Introduction to Reproducible Science: Day 1 - Tools: R, RStudio, RMarkdown
Building Blocks for Reproducibility: Git + RStudio
GitHub Quick Tutorial for R and RStudio Projects Data Science
Workshop on reproducible science with R and RStudio
Setting up a reproducible data analysis project in R – featuring Github, renv, targets and more
Introduction to Reproducible Science: Day 1 - Tools: Github, Endnote
Learn How to Use Git and GitHub with RStudio
Reproducible science - Using git as version control system (Part 5)
R project reproducibility (part of the Rfun Introduction to R series)
Deep Dive
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Last Updated: August 14, 2026
Summary
For 2026, Github Rstudio Reproducible Science remains one of the most searched-for creator profiles. Check back for the newest reports.
Disclaimer: Disclaimer: All Verified Registry logs and creator system metrics are compiled from publicly accessible data, development records, and digital index testing.
