The first place to start is the R Project Home Page. Here you will be able to download R and contributed libraries, and retrieve documentation.
There is a nice site that answers many R questions here.
R course notes by UW Biostatistician Thomas Lumley. These are very nice and quite complete. They have a decided epidemiological bent.
R Graph Gallery. A collection of user-contributed plots designed to show off R's graphics capabilities.
Our textbook. Site contains errata list and other links.
Most useful statistics book ever?
Tinn-R. R-savvy text editor for Windows.
AlphaX. Jamie's (formerly) favorite Mac-native text editor.
Gnu Emacs. Jamie's favorite text editor. Period.
Aquamacs. Jamie's new favorite Mac-native text editor. Comes ready to roll with ess (see below).
ESS (Emacs Speaks Statistics). An awfully handy tool for using R in conjunction with emacs. Probably not for the faint of heart, but nonetheless highly recommended.
John Fox's Introduction to Statistical Computing in R.
Mark Handcock's Distributional Methods class at UW.
My notes on creating a period life table in R that use some indexing tricks discussed in class. The data file and R script that calculates a period life table are in the R Code directory.
Peter Dalgaard, author of our textbook.
More to come!
Last Modified: 02.01.06