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
- RStudio Cheat Sheets: Useful, especially for more advanced topics
- 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:
- 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.
- 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