This pages links to useful R-sources.
Software
- The R Project for Statistical Computing and CRAN: The primary hubs of all things R
- RStudio: An IDE — including a code editor, debugging & visualization tools — that makes R easier to use
- R Markdown: A simple and powerful way to weave together text and code to create reproducible documents and produce high-quality output
Documentation and Information
- R manuals
- R books and free books on R programming and data science
- Related docs and contributed documentation
- RStudio cheatsheets
- The R Journal
R Packages
- CRAN packages lists all packages currently archived
- R packages by RStudio provide useful tools for solving common tasks
Some recommended packages:
- Bookdown allows writing books in R, but also provides free books and scripts
- YaRrr! is the pirate’s guide to R, supported by the yarrr package
- FFTrees creates, visualizes, and evaluates FFTs (see paper as pdf or html )
- riskyr represents risk-related information more transparently
Software development
Writing R packages:
- Writing R extensions — official guidelines and rules for package development
- Hadley Wickham’s R packages provides practical advice for package development
- Karl Broman’s package primer
Version control systems:
- git, GitHub or SVN track changes, ensure code safety, and enable sharing and collaboration
- GitHub pages allow creating websites from Markdown files
- Hadley Wickham’s chapter and Karl Broman’s GitHub tutorial provide solid introductions
- Scott Chacon’s and Ben Straub’s Pro Git book cover the details
Miscellaneous
- Advanced R and Efficient R programming develop useRs towards expeRts
- R Shiny allows building interactive R applications
- Bootstrap and Bootswatch provide css-themes for applications
- The R Graph Gallery collects powerful visualizations
- OpenIntro provides free textbooks and tutorials on statistics
Blogs
- R-bloggers bundles R news and related links
- R-exercises provides what it says
- R-Shiny tutorials provides helpful advice on common problems