If you want to learn R then naturally the
absolute best option is to get yourself a
copy of Introductory R. That annoyingly transparent
piece of self-promotion aside, there are many
resources out there for the R novice, including some
online books, a great many video tutorials and a lot of
other helpful websites. Quite a lot of this is aimed at
people with either specialist statistical or programming
knowledge so you might have to look for a while to find
material at the level that you need but a bit of
persistence should pay off.
The big dog for this is rseek.
This search allows you to search, among other things, the R help
files, the R-help discussion forums, a bunch of blogs, and a great
deal of other R documentation. It also has tabbed searches so you
can get results from just one category. It's brilliant. Created by
Sasha Goodman - thanks.
IPSUR - Introduction to
Probability and Statistics Using R by G Jay Kerns is a full length
(400 page) textbook designed for statistics students but released
under a GNU free documentation license. It's designed to be
installed as an R package - follow the instructions here.
statistics with R: A tutorial for psychology
students and other beginners by Daniel Navarro is a
full-length book aimed at psychologists and is available
as a pdf.
R Inferno: Common errors and misconceptions about R
programming and analysis, written by Pat Burns in the style of
Dante's Inferno. As a beginner you probably don't need to use this
until you get into trouble, but it's worth knowing that it's
there. Downloadable as a free pdf.
The R podcast is available
here: some of the episodes are specifically designed for
R Useful tutorial on R basics by Pat Burns. Includes lots of
links and good advice on how the whole language works
tryR Website with online
tutorials in the R basics. Walks you through the fundamentals of
R Graph Gallery
Has a wide variety of graphs drawn in R, each with the code used
to produce it. If you want to draw a graph you can look through
the gallery, find a graph like the one you want to use and adapt
the code for your own purposes.
Overflow A website set up for programmers to ask
questions about how to solve specific problems. Has a lot of
material on R and a good place to look if you’ve come up against
some apparently insurmountable difficulty
A sister site to Stack Overflow that deals more with statistical
issues rather than programming ones.
TalkStats A website for
discussion of statistics that has a specific R forum.
R-bloggers A website that
aggregates articles from over 400 separate blogs that deal with R.
High traffic but something that should interest almost anyone.
Cookbook for R Worked
examples and with the code explained. Great for beginners.
Learning R A blog with
lots of useful articles, mostly about the ggplot2 package. Hasn't
been updated for a while but still useful.
A blog maintained by the staff of a company called Revolution
Analytics. Lots on data mining and analysing big datasets, but
also some useful material for beginners if you look.
mailing list. This is a very high traffic and high standard
mailing list. Fools are not suffered gladly: I strongly recommend
that you read and digest the posting guide
before asking anything.
For biologists there are some more specialist mailing
lists for subjects like ecology, epidemiology, genetics and
phylogenetics.There are also a number of - for example,
there is an ecology list, an epidemiology list, a genetics list
and a phylogenetics list.
R script editors,
GUIs and IDEs
Not really resources for learning R but worth knowing about.
An integrated development environment for R, works on all
Tinn-R A script
editor for R, popular with windows users. This page
has a good guide to installing and using it.