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 home page.

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 Techonology Services page related to R
- Prof. D. G. Rossiter's pages (See under “R applications”)
- Prof. Hadley Wickham's pages related to R and other statistics courses he teaches.
- Advanced R by Hadley Wickham
- Geographic Data Analysis Using R
- Prof. David Hiebeler's MATLAB/R Reference
- How R Searches and Finds stuff --- very useful!!
- My R related notes

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

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vijaylulla-at-gmail.comComments, questions, problem reports, suggestions welcome!