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Welcome to the IDA wiki. Here're some outdated notes:
Below are a few links and resources that did not make it to the course reading list but are still worth a look. You can find even more stuff in my stats:R bookmarks, or by browsing the #rstats hashtag on Twitter.
- Learning Statistics with R (by Dan Navarro; work in progress)
- Machine Learning for Hackers (by Drew Conway and John Myles White, 2012; code, notes)
- Practical Data Science with R (by Nina Zumel and John Mount; not yet out)
- R and Data Mining (by Yanchang Zhao, 2012; examples)
More handbooks:
- Dalgaard, Introductory Statistics with R, 2002
- Verzani, Using R for Introductory Statistics, 2005 (also: simpleR, 2002)
- Zuur et al, A Beginner's Guide to R, 2009
More advanced:
- Cornillon, Matzner-Lober, Régression avec R, 2011 (French primer to regression)
- Maindonald, Braun, Data Analysis and Graphics Using R – An Example-Based Approach, 3rd ed, 2003
- Matloff, The Art of R Programming, 2011 (functional programming)
A few books on visualization:
- Cairo, The Functional Art, 2012
- Steele and Iliinsky, Designing Data Visualizations, 2011
- Yau, Visualize This, 2011
Visualization with R:
- Murrell, R Graphics, 2006
- Wickham, ggplot2, 2009
More advanced:
- Munzner, Visualization Design and Analysis, 2012
- Tufte, VDQI, 2001 (authoritative reference)
- One Page R ("A Survival Guide to Data Science with R")
- R Bootcamp (by Jared Knowles)
- OpenIntro Labs (fantastic stuff)
- Gaston Sanchez's "n ways to…"
- 274 pages of R notes, by Tyler Rinker
- A good cheat sheet of basic R operations
- A useful set of functions for psychology
- A cheat sheet in Spanish
And my favourite teaching function: SnowsPenultimateNormalityTest
The course cites many R blog posts. The main source for them is R-bloggers, with a few more from Stats Blogs.
Some of my favourite R blogs:
Some more with no recent updates but interesting examples:
Some content also gets discussed at Stack Overflow, a Q & A online community with an impressively knowledgeable base of R users (see also Cross Validated for online discussion on statistics).