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List of Free Online R Tutorials

According to the post on FREE online R tutorials from universities, I have received many email suggesting more and more tutorials. However some tutorials are not hosted in an academic institutes, so I decided to create this post to list such tutorials. If you know other tutorials, please kindly suggest me by email to or post the link in the comment section.

A list of R tutorials, which are hosted in the webpages of academic institutes can be found here.

The tutorials are listed  in no particular order but categorised by subjects and/or topics.

General guides

  1. R Wiki Documentation about R contributed by the R community
  2. Quick-R by Rob Kabacoff
  3. R Programming by Wikibooks 
  4. How to use R by Wikiuniversity
  5. R4stats – R for SAS and SPSS Users – R for Stata Users by Bob Muenchen
  6. Programming in R by  Vincent Zoonekynd
  7. R programming for those coming from other languages by John D. Cook
  8. Cookbook for R by Winston Chang (Not related to Paul Teetor’s R Cookbook!)
  9. A short introduction to the R programming language by Leibniz-Rechenzentrum
  10. The Guerilla Guide to R by Nikhil Gopal

Online Tutorial

  1. Introduction to R by Data Camp
  2. Introduction to statistical programming in R by Leada
  3. R Coder by José Carlos

VDO/Audio tutorials

  1. Twotorials More than 90 Two minute tutorials on several topics  by Anthony Damico
  2. The R-Podcast by Eric Nantz
  3. R language for Statistical Computing by  Sentiment Mining Research Center
  4. A list of Videos on Data Analysis with R: Introductory, Intermediate, and Advanced Resources by Jeromy Anglim

Subject specific

Economics & Econometrics

  1. Forecasting: principles and practice (Online Book) by Rob J Hyndman and George Athanasopoulos
  2. Econometrics in R (CRAN) by Grant V. Farnsworth


  1. R in Ecology and Evolution
  2. Ecology and Epidemiology in R by Various authors


  1. Using R for Personality Research – Introduction to R [slide] – R: Statistics for all of us [slide] by  William Revelle
  2. Learning R for Researchers in Psychology by Jeromy Anglim

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