R is a statistical program/environment that can be used for statistical modeling or analysis. More information about R can be found on its About page on its homepage.

Apart from the excellent documentation that can be found on R project’s page, below are some of the links that I find useful.

- UCLA Academic Technology Services page related to R
- Prof. D. G. Rossiter’s page (See under “R applications”)
- Hadley Wickham’s pages related to R and other statistics courses he teaches
- Advanced R – by Hadley Wickham (a very useful resource!)
- Geographic Data Analysis Using R
- How R Searches and Finds Stuff – very useful!!
- My R related notes

- Introduction to the R project for statistical computing for use at ITC – by David Rossiter
- Using R for data analysis and Graphics: Introduction, Code, and Commentary – by J H Maindonald
- R for beginners – by Emmanuel Paradis
- simpleR -
*Using R for Introductory Statistics*– by John Verzani - Practical regression and Anova using R – by Julian J. Faraway

Patrick Burns’s “Spreadsheet Addiction” lists some common problems associated with Excel. He also has many tutorials pertaining to R under the “Tutorial” title on his page (link).