Why use R?

• Muenchen, RA. The popularity of data analysis software
• Muenchen, RA. Trends in the analytics job market

R & RStudio Links

• swirl – a great way to learn your way around R
• The R project
• CRAN Task Views, [descriptions of packages, including:]
  • Design of Experiments
  • Analysis of Ecological Data
  • Comparative Phylogenetics
  • Analysis of Spatial Data
• RStudio [the default R-interface for this course]

Books / Guides (online)

• Paradis, E. 2005. R for Beginners
• Spector, P. 2004. An introduction to R.
• Verzani, J. 2002. simpleR.
• Maindonald, JH. 2008. Using R for data analysis and graphics.
• Seefeld, K & Linder, E. 2007. Statistics using R with biological examples.
• Dyer, R. Biological data analysis with R.

Getting Started in R & Cheat Sheets

• Machlis, S. 2013. A beginner’s guide. [very useful, with a long list of online resources]
• Contributed Documentation @ CRAN [many good links here]
• Baron, J. R reference card.
• RStudio cheat sheets. Awesome for basics,  graphs, dplyr, and more
• Quick-R [web page, with much good info & links]
• Manipulating Data
  • plyr: Split-Apply-Combine for Mortals
  • R tutorial on the Apply family of functions
  • dplyr Introduction
• Graphing in R
  • a nice tutorial on ggplot2

R blogs and Forums (because others precede you)

• R-bloggers [central connection to >500 blogs]
• Stack Overflow [popular forum for programmers, much in there on R too]
• inside-R [generally pretty helpful]
• R-help forum
• R-statistics (some advanced stats)

Other stuff

• Hadley Wickham on data analysis, dplyr, graphing