# Getting Started With R: Some Resources

There are many, many excellent resources for newcomers to R. Here are a
few
I can personally recommend.
## On-Line Introductions and Tutorials

- An Introduction to R: In
R, run help.start(), then
click on "An Introduction to R".
- An introduction to many topics. Not very tutorial, however. By
Venables, Smith, et al. Also available at http://cran.r-project.org/doc/manuals/R-intro.pdf.
- Using R for Data Analysis and
Graphics: http://cran.r-project.org/doc/contrib/usingR.pdf
- An easy-to-read tutorial. By J. H. Maindonald.
- Quick-R for SAS/SPSS/Stata Users:
http://www.statmethods.net/
- An R language tutorial for people who already know SAS, SPSS, or
Stata. By Robert Kabacoff.
- Some Hints for the R Beginner:
http://www.burns-stat.com/
- Click on "Tutorials" to get started with R. By Patrick Burns.

## Sources of Help

- The R search engine: http://rseek.org/
- Looking for something? Start here. This search engine focuses on
R-related web sites.
- The R Help mailing list: https://stat.ethz.ch/mailman/listinfo/r-help
- An incredible amount of Q&A. Got a question? First, search
the archives (http://tolstoy.newcastle.edu.au/R/),
since it's likely that someone already answered your question. Second,
post your question if necessary, but read the posting guide before you
do (http://www.r-project.org/posting-guide.html).
- Stack overflow: http://stackoverflow.com/questions/tagged/r
- Ask a question, get an answer from an expert. Use the "r" tag.
- Twitter: http://twitter.com/#search?q=%23rstats
- If you can squeeze your question into 140 characters, someone
might know the answer. Use the #rstats
hashtag.

## Books

- R in a Nutshell by
Joseph Adler (http://www.amazon.com/dp/059680170X)
- A combination tutorial and reference book.
- A Beginner's Guide to R
by Zuur, Ieno, and Meesters (http://www.amazon.com/dp/0387938362)
- A quick-start guide for newbies.
- Using R for Introductory
Statistics by John Verzani (http://www.amazon.com/dp/1584884509)
- A good introduction to both R and statistics.
- R Graphics by Paul
Murrell (http://www.amazon.com/dp/158488486X)
- If you want to understand graphics in R, this is the book.
- Modern Applied Statistics with S
(4th ed.) by Venables and Ripley (http://www.amazon.com/dp/1441930086)
- Especially good for anyone who knows statistics and wants to
start using R.