R Resources

Below are a bunch of resources to help you get acquainted with R, in no particular order:

Intro to R – A .pdf booklet introducing the basic functionality of R

Quick-R – A searchable website geared toward folks transitioning from SPSS

Stuff I wish I’d known when I started learning R – A blog post with some great tips for how to use R effectively, including a brief overview of good code practices, version control, etc.

R for Psych Research (from the Personality Project) – A guide to using R for psychological research, with translations between R and SPSS

http://experimentalfieldlinguistics.wordpress.com/links/statistics-and-r-blogs/ – A great list of resources for stats and R, targeted at linguistics (but probably fun for everyone).

http://www.screenr.com/Pps8 – An introduction to the R help documentation (video)

UCLA Guide – A compendium of useful beginner (and not so beginner) guides

Impatient R – A guide to help get you over “Blank Screen Syndrome”

Twotorials – a series of two-minute tutorials on R stuff.

Rice University – The syllabus and course materials for a stats class conducted in R from Rice

An excellent compilation of resources and tutorials: data_R

R-Project – The official R website

Excellent R package for multiple imputation (for missing data): Amelia

And, of course, where to get R if you don’t have it (this links to the Oregon State University mirror): http://ftp.osuosl.org/pub/cran/

If you find the blank screen too overwhelming, R Studio offers a free GUI for R (I, personally, find that R Studio is kind of clunky makes things more difficult, but that’s me -nml).

An awesome blog, asdfree.com (“Analyze Survey Data for Free”), with complete R instructions for finding, downloading, importing, and analyzing each of several publicly-available US government survey datasets.

One comment

  1. daniela@uoregon.edu

    Here’s some info on the mixed modeling mailing list, which I find quite helpful.

    Send R-sig-mixed-models mailing list submissions to
    r-sig-mixed-models@r-project.org

    To subscribe or unsubscribe via the World Wide Web, visit
    https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
    or, via email, send a message with subject or body ‘help’ to
    r-sig-mixed-models-request@r-project.org

    You can reach the person managing the list at
    r-sig-mixed-models-owner@r-project.org

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