Rplex

History of R

Learning Path for R

1. Start with Why R
2. Download R from CRAN also download R-Studio, install R-packages, some more important packages
3. Start with R basics from Datacamp or Code School for R or interactive swirl or the RGuide
4. Few more important R packages

5. Data Visualization tutousing ggplot2
6. Data Mining & Machine Learning in R read data mining in R or togaware

7. Practice 

8: Advanced Topics

R Resources
http://r-project.org
http://cran.r-project.org/
http://blog.revolutionanalytics.com
http://www.r-bloggers.com/

R online (in browser)
http://www.roncloud.com
http://www.compileonline.com/execute_r_online.php
http://www.r-fiddle.org
http://pbil.univ-lyon1.fr/Rweb/Rweb.general.html

R Studio
http://www.rstudio.com/
http://shiny.rstudio.com/
https://github.com/rstudio

More Resources

 

R books

  • Software for Data Analysis: Programming with R (Statistics and Computing) by John M. Chambers (Springer)
  • S Programming (Statistics and Computing) by Brian D. Ripley and William N. Venables (Springer)
  • Programming with Data: A Guide to the S Language by John M. Chambers (Springer)
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