Learning R for Researchers in Psychology

[This article was first published on Jeromy Anglim's Blog: Psychology & Statistics, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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R is a powerful environment for statistical computing. Here is a selective list of resources on R with an emphasis on resources useful for researchers in psychology.

Psychology specific R resources

General Resources

Task Views
R includes many user contributed packages. In order to make these more accessible, many of them are listed under task views. The following Task Views are of particular relevance to researchers in pscyhology.

R lists many of the increasing number books on R that are being released. Some of the books on R that I have enjoyed reading include the following:

  • Software for Data Analysis (2008): John Chambers: This gives a sense of the philosophy and style of programming in R. It is an intermediate to advanced text.
  • Data Manipulation with R: Phil Spector: This book is short, concise, and very clear. The examples are well chosen.
  • Data Analysis and Graphics Using R – An Example-Based Approach: John Maindonald and John Braun: This provides a good introduction to R. It also covers many techniques useful in psychology introducing several interesting techniques that are not necessarily part of the standard psychology statistics curriculum.
  • Books in the The Springer UseR Series tend be quite good.
  • If you are coming from an SPSS or SAS background as is often the case in psychology, R for SAS and SPSS Users may make transferring your knowledge easier. There’s an early version of the book available for free online.

Getting Started

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