How to get more help with R

The function of StatsBytes is only to get you started with R. I have kept it as simple as possible and I don't pretend that I've scratched the surface of what R is capable of, or explored statistical principles in any depth. It is possible to greatly extend the capabilities of R by installing additional extension packages. This site deliberately does not require use of any additional packages beyond the standard installation.
I am unable to offer consultancy on your statistical problems so please don't ask me, you won't get a reply. If you need help, try the following:

Books:

There is no shortage of books about R. Worthy of note:

John Verzani. Using R for Introductory Statistics. This is my favourite, clear, easy to follow, and plenty of examples.

Paul Teetor. 25 Recipes for Getting Started with R, Excerpts from the R Cookbook. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R.

Avril Coghlan. R for Biomedical Statistics. Focusses on common procedures in biomedical statistics, such as factors associated with disease, randomised trials, and meta-analysis.

Michael J. Crawley. Statistics: An Introduction using R. This is a very good book, especially on statistical principles. Personally, I haven't found it that helpful with R, but it is excellent on why things are done the way they are.

Michael J. Crawley. The R Book. This is the R Bible. Not for the faint-hearted.

Peter Dalgaard. Introductory statistics with R. Worth a look.

Online:

Because the R community tends to work in a very open way, a lot of excellent information and examples are available via a Google search (usual cautions apply).
W.J. Owen's The R Guide provides a very good introduction to R.
Vincent Zoonekynd's Statistics with R website is also very good.
Avril Coghlan has some very good introductory material online: A Little Book of R for Multivariate Analysis | A Little Book of R for Biomedical Statistics | A Little Book of R for Time Series.
Beyond that, online forums such as Stack Overflow and Get The Data can be very helpful for more advanced questions about R - but beware! The users of these forums are very adept at sniffing out "homework questions" ;-) Stats.stackexchange.com is a good place to ask questions about statistical principles and approach, but read the FAQ before posting.

General:

Excellent statistics glossary: Common Concepts In Statistics

The StatSoft Electronic Statistics Textbook is also a good starting point for statistical concepts.

StatsBytes by A.J. Cann is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License