R resources for Psychologists

Good resources for learning R as a Psychologist are hard to find. By that I mean that there are so many great sites and blogs around the internet to learn R. Thus, it may be hard to find learning resources that targets Psychology researchers. Recently I wrote about 4 good R books targeted for Psychology students and researchers (i.e., R books for Psychologists). There are, however, of course other good resources for Psychological researchers to learn R programming. Therefore, this post will list some of the best blogs and sites to learn R.  The post will be divided into two categories; general and Psychology focused R sites and blogs. For those who are not familiar with R I will start with a brief introduction on what R is (if you know R already;click here to skip to the links).

What is R?

R is a free and open source programming language and environment. Data analysis in R is carried out by writing scripts and functions. R is a complete, interactive, object-oriented language.

R for Psychologists. R is interactive.
R is interactive

In R statistical environment you are able to carry out a variety of statistical and graphical techniques. For instance, linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, and many more can be carried using both frequentist and bayesian paradigms.

You may want to start with R commander. It provides a menu which may make learning R a bit easier at the beginning. R can be downloaded here: The Comprehensive R Archive Network.


R resources

R has a broad and helpful community and, therefore, there are many good resources for learning the language.


  • Quick-R: A comprehensive source for information on how to carry out many common statistical analysis as well as descriptives and graphs.
  • SimpleR notes for introducing the use of R for an introductory statistics course.
  • The R Guide
  • Cookbook for R provides solutions to many tasks and problems in data analysis.
  • Revolution Analytics – A blog for news and information about R. Publishes guides and articles about R.
  • R-bloggers A “blogg aggregator” for R blogs. Here you can find, and follow, a lot of comprehensive, basic and advanced, guides and posts.
  • RStudio – my Integrated Development Environment (IDE) of choice when it comes to R.


Although, the learning curve for software such as R is steeper than using software with graphical interfaces (i.e., SPSS, Stata, and Statistica) it is not super hard to learn to carry out the most basic and classical statistical tests. If you aim for reproducibility learning R and/or LaTeX or RMarkdown is really the way to go.

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