Reference cards/cheat sheets

• Jonathan Baron’s R reference card (1 page)
• Tom Short’s R reference card (4 pages)

On-line help

• RSiteSearch (the original R site search. Indexes mailing lists, function help, etc.. Can be accessed from within R (RSiteSearch(“topic”)) or on the web.
• rseek.org (An alternative search engine. It finds lots of introductory materials/tutorials, etc., and has nice tabs on the right side dividing the results by categories (“Introductions”, “Task Views”, “Support Lists”, etc.)
• sos::findFn interface to R Site Search (install.packages("sos"); library(sos); findFn("topic"))
• R mailing list
• R wiki (not as well populated as it might be, but useful for some things)
• R tips (somewhat old but still useful)
• R-bloggers (entertainment and case studies rather than “how to” advice)
• StackOverflow (more focused on programming than statistics)
• R Task Views (quick reviews of subject-specific functionality)

On-line documentation

• long list of contributed documentation on the R site
• R links from UCLA stat computing
• Quick-R (transitional material for SAS/SPSS/Stata/Systat; also available as a book)
• USGS learnR (beginner-friendly, includes on-line lectures as Windows media files)
• the R inferno (best appreciated after you have worked with R for a while)

Books

• long list of R books on the R site
• Adler “R in a nutshell” 2009 (desktop reference)
• Crawley “The R book”, 2007 (statistics, ecology)
• Maillardet et al, “Introduction to Scientific Programming and Simulation Using R” 2009 (programming, numerical computation, simulation)
• Bolker “Ecological Models and Data”, 2008 (statistical modeling)
• Dalgaard “Introduction to Statistics with R” (as the title says)
• Soetaert et al “A Practical Guide to Ecological Modeling” 2008 (ecological modeling, focusing on simulation)
• Spector “Data Manipulation in R” (as the title says)
• Advanced graphics:
  • Murrell (grid graphics)
  • Sarkar (lattice)
  • Wickham (ggplot)