The descriptions of importing and manipulating data and results in this section of this book don’t even scratch the surface of what is possible with R. Going beyond this very brief introduction, however, is beyond the scope of this book. I have tried to provide only enough information so that the reader unfamiliar with R will find the examples in the rest of the book comprehensible.

Luckily, there are many resources available for users wishing to better understand how to program in R, manipulate data, and perform more varied statistical analyses.

One free online resource I’ve found helpful is *Quick-R*
(www.statmethods.net/).

CRAN hosts a collection of R manuals (cran.r-project.org/manuals.html).
One that might be helpful is *An Introduction to R* by Venables.

CRAN also hosts a collection of contributed documentation (cran.r-project.org/other-docs.html), in several languages, which may prove helpful.

If readers wish to purchase a more-comprehensive and
well-written textbook, *The R Book* by Michael Crawley is one option.