Resources

[wendtke]

List of relevant R resources, courses, and books:

• CSU STAT R 1-credit modules (intended for anyone, particularly CSU undergrads, new to R)
• Harvard R MOOC (Brooke knows Rafael)
• List of free R books
• Statistical Inference via Data Science
• RStudio learnr primers and cheatsheets
• ranking questions in learnr
• tutorial quiz questions in learnr
• RYouWithME
• Tidy statistics webinar with Thomas Mock
• Creating exams in/about R
• Embedding quiz questions in bookdown
• Teaching statistics and data science online - Mine
• useR! ggplot2 workshop on RStudio Cloud
• Alison Hill's compilation of online resources
• Project-oriented workflow (Jenny Bryan)
• To add pkgname:: prefix to function names for clarity and building student intuition
• R Markdown templates for homework or exams

[wendtke]

git/GitHub

• For more on GitHub and Issues: http://r-pkgs.had.co.nz/git.html
• Ten simple rules article: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004947&type=printable
• Another ten simple rules article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390961/pdf/pcbi.1005412.pdf
• https://www.americanscientist.org/article/wheres-the-real-bottleneck-in-scientific-computing
• https://www.nature.com/articles/d41586-019-02046-0
• Blog post on GitHub about using it for science: https://github.blog/2014-05-14-improving-github-for-science/
• More on GitHub for science: https://www.nature.com/news/democratic-databases-science-on-github-1.20719
• Jenny Bryan's version control article: https://www.tandfonline.com/doi/pdf/10.1080/00031305.2017.1399928?casa_token=a_wWeLnIiboAAAAA:L3aww4oDpKasvXKDNbarE7jfTywAeH0GnLavVpOT-gCss7pXMzRQJJZNk9SQA5FWt2ipwhhLFbWv