Applied R: Manual for the quantitative social scientist

March 23, 2011
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(This article was first published on Curving Normality » R-Project, and kindly contributed to R-bloggers)

R-Project is an advanced software package for statistical analysis. Several years ago, already, I wrote an introductory manual for several analyses that can be performed with R. Although several parts of this are available from my blog as the R-Sessions, I never publicly published the full document. Now, this changes: for those looking for an applied guide to R-Project, here it is!

This manual was written specifically as an introduction for the quantitative social scientist. To my opinion, R-Project is a magnificent statistical program, ready to be accepted and implemented in the social sciences. The flexibility of this program and the way data are handled gives the user a sense of closeness to and control over the data. I think this inspires users to analyze their data more creatively and sometimes in a more advanced way. At present, this manual has a strong focus on multilevel regression techniques. Reason for this is that in R-Project it is very easy to estimate these types of models, even the more complex variants. The more basic and fundamental aspects of R-Project are introduced as well. All this is done with the needs of the quantitative social scientist in mind.

Of course, this manual it provided without any warranty. Please realize that I wrote it almost four years ago.

I’d love to hear any feedback for (future) improvements!

Download:

Applied R for the quantitative social scientist

To leave a comment for the author, please follow the link and comment on his blog: Curving Normality » R-Project.

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