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):
  
  • R Commander
  • Deducer
  • RKWard
    

        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.
    
                                 
• 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.
    
                                 
• 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
    
                       
•   There are whole book series on R by the publishers
  
  • O'Reilly
  • Springer
  • Chapman & Hall/CRC