Oxford University Press - 2009, 192 pages
You have successfully designed your first experiment, run the subjects, and you are faced with a mountain of data. Whatβs next? Does computing an analysis of variance by hand suddenly appear mysteriously attractive? Granted, writing an [R] program and actually getting it to run may appear to be quite an intimidating task for the novice, but fear not! There is no time like the present to overcome your phobias. Welcome to the wonderful world of [R]
The purpose of this book is to introduce you to relatively simple [R] programs. Each of the experimental designs introduced in Experimental Design and Analysis for Psychology by Abdi, et al. are reprinted herein, followed by their [R] code and output. The first chapter covers correlation, followed by regression, multiple regression, and various analysis of variance designs. We urge you to familiarize yourself with the [R] codes and [R] output, as they in their relative simplicity should alleviate many of your anxieties.
We would like to emphasize that this book is not written as the tutorial in the [R] programming language. For that there are several excellent books on the market. Rather, use this manual as your own cook book of basic recipies. As you become more comfortable with [R], you may want to add some additional flavors to enhance your programs beyond what we have suggested herein.