Sources of help, documentation
23 Sources of help, documentation
Many questions about
R are asked and answered on the
R mailing
list. Details for subscribing or posting are on the webpage
www.r-project.org. Please be respectful of the time of others
and only ask questions after giving yourself enough time to figure it out.
There are a number of tutorials, documents and books that can help
one learn
R. The fact that the language is very similar to S-Plus
means that the large number of books that pertain to this are readily
applicable to learning
R. In this appendix, a list of free
documentation is offered and a few books are quickly reviewed.
-
The R program
-
The R-source contains much documentation. Online help, and several
manuals (in PDF format) are available with the R-software. The
manual ``An Introduction to R'' by the R core
development team is an excellent introduction to R for people
familiar with statistics. It has many interesting examples of R
and a comprehensive treatment of the features of R. It is an
excellent source of information for you after you have finished
these notes.
- Free documentation
- The R project website
http://www.r-project.org has several user
contributed documents. These are located at
http://cran.R-project.org/other-docs.html.
-
statsRus at
http://lark.cc.ukans.edu/ pauljohn/R/statsRus.html
is a well done compilation of R tips and tricks.
- The notes ``Using R for Data Analysis and Graphics'' by John
Maindonald are excellent. They are more advanced than these, but
the first 5 chapters will be very good reading for students at the
level of these notes.
- ``R for Beginners / R pour les débutants'' by Emmanuel
Paradis offers a very concise, but quite helpful guide to the
features of R. It is a valuable resource for looking up aspects
of R.
- ``Kickstarting R'' compiled by Jim Lemon, is a nice, a
short introduction in English.
- ``Notes on the use of R for psychology experiments
and questionnaires'' by Jonathan Baron and Yuelin Li is useful
for students in the social sciences and offers a nice, quick
overview of the data extraction and statistical features of R.
- Books
-
The book ``Introductory Statistics with R'' by P. Dalagard
is aimed at the same audience as these notes. It is much more
comprehensive though. The only drawback is the price which is on the
expensive side for
casual usage.
For advanced users, the book ``Modern Applied
Statistics with S-PLUS'' by W.N. Venables and B.D. Ripley is
fantastic. It is authoritative, informative and full of useful
functions and data sets.
The book "Learning S-Plus" (Duxbury) is a fairly comprehensive
introduction to the powers of S-Plus. It is written at a similar
level as "An Introduction to R".
Copyright © John Verzani, 2001-2. All rights reserved.