## Useful Links

*R* software

- R Project: The official
*R*website with software, manuals, packages, FAQ, ... - RStudio: A powerful and free integrated development environment (IDE) for
*R* - Other Graphical user interfaces (GUIs):

### Introduction, help, ...

- CRAN's introduction to
*R* - CRAN task view: Econometrics: An annotated list of relevant packages
- Quick-R: Quick and useful introduction to
*R*including examples - R-bloggers: central hub (e.g: A blog aggregator) of content collected from bloggers who write about
*R* - Planet R: Site aggregator, all the latest news around
*R* - Cookbook for R: Useful examples for all kinds of
*R*problems - RSeek: Search engine for
*R*topics - Graphical Apps for Statistics and Probability (GrASP) Interactive tools to learn about
*R*and basic statistics/probability(currently only in German) - The R Journal
- The Journal of Statistical Software
- Cross Validated: A discussion forum on statistics and data analysis with an active
*R*community - Stack Overflow: A discussion forum on programming with an active
*R*community - There are countless other websites, videos, and other material available online. Use your favorite search engine to locate them.

### Other great books on *R*

There are countless books on *R* for all sorts of readers and with different topics. Here are a few that I happened to look into and found usefull.

- Econometrics with
*R*- Applied Econometrics with R by Christian Kleiber and Achim Zeileis:

The first book on econometrics with*R*. Concise treatment of the implementation of various econometric methods. Provides the package*AER*. - An R Companion to Applied Regression by John Fox and Sanford Weisberg:

A comprehensive treatment of linear regression in*R*. Actually more with a sociology than an economics focus. Provides the package*car*.

- Applied Econometrics with R by Christian Kleiber and Achim Zeileis:
- Statistics with
*R*- Introductory Statistics with R by Peter Dalgaard:

Introduces*R*for introductory statistics classes with a focus on biostatistics. - Discovering Statistics Using R by Andy Field, Jeremy Miles, and Zoe Field:

A comprehensive book introducing both statistical methods and their implementation in*R*with a focus on psychology and behavioral science. - Using R for Introductory Statistics by John Verzani:

Self-contained introduction to fundamental statistics and*R*. - A Handbook of Statistical Analyses using R by Torsten Hothorn and Brian S. Everitt:

Introduces*R*for fundamental and advanced statistical analyses.

- Introductory Statistics with R by Peter Dalgaard:
- General
*R*and Programming- The R Book by Michael J. Crawley:

The most comprehensive book on everything regarding*R*. - R in Action by Robert I. Kabacoff:

Provides an introduction to*R*, many examples of analyses and discussions of advanced programming topics. - The Art of R Programming by Norman Matloff:

Great book on programming*R*from the basics to advanced topics. - R Cookbook by Paul Teetor:

Large collection of typical*R*problems and concise solutions. - Advanced R by Hadley Wickham:

An invaluable source the the true*R*geek. - R Graphics Cookbook by Winston Chang:

Collection of solutions for the creation of graphics with a focus on the*ggplot2*package

- The R Book by Michael J. Crawley:
- There are whole book series on R by the publishers