28 Version control
28.1 Happy Git and GitHub for the useR
Jenny Bryan, the STAT 545 TAs, Jim Hester
Happy Git provides opinionated instructions on how to:
Install Git and get it working smoothly with GitHub, in the shell and in the RStudio IDE. Develop a few key workflows that cover your most common tasks.Integrate Git and GitHub into your daily work with R and R Markdown.
The target reader is someone who uses R for data analysis or who works on R packages, although some of the content may be useful to those working in adjacent areas.
28.2 Github actions with R
Chris Brown, Murray Cadzow, Paula A Martinez, Rhydwyn McGuire, David Neuzerling, David Wilkinson, Saras Windecker
GitHub actions allow us to trigger automated steps after we launch GitHub interactions such as when we push, pull, submit a pull request, or write an issue.
28.3 Github learning lab
Not R specific or even a book, but looks like a good resource to learn git.
28.4 The Beginner’s Guide to Git and GitHub
A quick beginner’s guide to using Git and GitHub.You have heard about git and GitHub and want to know what the buzz is about. That is what I am here to tell you. Or, at least, I am here to give you a quick overview of what you can do with git and GitHub. I won’t be able, in the space here, to give you an exhaustive list of features—in all honesty, I don’t know enough myself to be able to claim expertise with these tools. I am only a frequent user, but I can get you started and give you some pointers for where to learn more. That is what this booklet is for.
28.5 Git and Github for Advanced Ecological Data Analysis
This material was prepared for a three-hour virtual session to teach Git and Github to a graduate-level course on Advanced Ecological Data Analysis taught at Rutgers University by Malin Pinsky and Rachael Winfree. (However, the only course-specific material is Section 4; the rest should be applicable to any reader.)