33 Version control
33.1 Git and Github for Advanced Ecological Data Analysis
by Alexa Fredston
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.)
33.2 Github actions with R
by 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.
33.3 Github learning lab
Not R specific or even a book, but looks like a good resource to learn git.
Link: https://lab.github.com/
33.4 Happy Git and GitHub for the useR
by Jenny Bryan, Jim Hester, the STAT 545 TAs
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.
33.5 The Beginner’s Guide to Git and GitHub
by Thomas Mailund
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.
Paid: $5
Link: https://amzn.to/2Nt0rDY
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