R Language Tips & Tricks
- R Easy to Use Wraps
- R Beginning & Advanced Guides & Tips
- Building R Packages
- R, Bioconductor, Biology & Bioinformatics
- R Resources & Archives
R Easy-To-Use Wraps
- RStudio (IDE for R)
- knitr, markdown, pandoc & Sweave
- R Commander (Rcmdr)
- Sage Cell Server (Runs R Online) | see Jed Frees’s Course, Ch 6: GLIM Example with SageCell
- Seamless R & C++ Integration (Rcpp) (more advanced topic)
- Pretty Quick R (pqR) (faster version of R)
- Roxygen: Documentation System for R Literate Programming
R Beginning & Advanced Guides & Tips
- R Documentation
- R Markdown Cheat Sheet
- R Data Import/Export
- Karl Broman’s Introduction to R
- Tom Lumley’s UW-Seattle Short Course on R
- John Gillett’s Introductory Data Analysis with R (UW Stat 327)
- Roger Peng’s Computing for Data Analysis (Coursera)
- R Training Videos
- RStudio Training
- Google’s R Style Guide
- R Software Introduction for Stat 571 | R Appendices for Course Notes
- Advanced Programming in R (Hadley Wickham)
- Knitr Reproducible Research
- Frank Harrell’s Statistical Reporting Tips
R, Bioconductor, Biology & Bioinformatics
- Robert Gentleman (2008) Bioinformatics with R. Chapman & Hall/CRC. ISBN 1-420-06367-7. R Publications
- Computing for Statistical Genetics (Ken Rice & Tom Lumley’s SISG Course)
- Advanced R Programming for Bioinformatics (Ken Rice & Tom Lumley’s SISG Course)
- Interactive graphics for high-dimensional genetic data (Karl Broman)
- Thirteen years of R/qtl: Just barely sustainable
R Resources & Archives
- R Frequently Asked Questions
- The R Project
- R Wiki
- R Bloggers: News & Tutorials
- inside-R: A Community Site for R
- Quick-R (StatMethods)
- Software for Exploratory Data Analysis and Statistical Modelling with R (Weka Learn Studios)
- r4stats: Analyzing the World of Analytics
- Comprehensive R Archive Network (CRAN)
- Bioconductor: Open Source Software for Bioinformatics
- R Forge
- Trending R Repositories in GitHub
- Revolution Analytics: R for the Enterprise (Blog)
- R User Groups