Day 1, Session 4

Who: Kara

Agenda

• Intro to GitHub and Git, with RStudio
• Using R Markdown and R with Git, GitHub, and RStudio (if time permits)

Slides

• git-and-github-early-usage.pdf

Activity prompts

• instructor-led activities
• if time permits, work on porting packages-report project into a GitHub-synced repo
  • Keep working in the project we initiated on GitHub, then cloned, and practiced in.
  • Go through several cycles of: bring R script over, commit & push, execute script, see the output appear, commit and push, etc.
  • Play with rendering to .md if you like.
  • We’ll work up to finishing it with a README.
• The project you downloaded earlier today, via use_course("rstd.io/wtf-packages-report"), provides everything you need to finish this off, i.e. shhh-secret-for-later-README.Rmd is a nice start for a README.
• The finished product I showed you is here: https://github.com/rstats-wtf/wtf-packages-report-EXAMPLE
• A version from Jim Hester that include a proper Makefile https://github.com/jimhester/my-packages/tree/jims

Resources

• Git/GitHub motivator and explainer: “Excuse me, do you have a moment to talk about version control?”
  • PeerJ preprint: https://dx.doi.org/10.7287%2Fpeerj.preprints.3159v2
  • In The American Statistician: https://www.tandfonline.com/doi/full/10.1080/00031305.2017.1399928
• New project, GitHub first
• Test drive R Markdown
• Render an R script