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!!

- 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).

Statistics with Excel? page on Practical Stats webpage lists many problems with using Excel for statistical analysis.

Question 13 of the FAQ on SHELDUS's page lists one of the problems with sorting and selections in Excel. See part 2 of the question.

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