There are some online sources that you might find useful. You could get started on those while you decide what books to get:
- CRAN contributed documentation http://cran.r-project.org/other-docs.html - S Poetry http://www.burns-stat.com/pages/spoetry.html - Zoonekynd book http://zoonek2.free.fr/UNIX/48_R/all.html - R manuals http://cran.r-project.org/manuals.html - R News http://cran.r-project.org/doc/Rnews/ - various packages have vignettes which are PDF documents that discuss the package, often at length. vignette() # shows vignettes for installed packages - there was a vignette browser posted to r-devel recently http://tolstoy.newcastle.edu.au/R/e2/devel/07/06/3498.html On 6/12/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote: > I am new to using R and would appreciate some advice on > which books to start with to get up to speed on using R. > > My Background: > 1-C# programmer. > 2-Programmed directly using IMSL (Now Visual Numerics). > 3- Used in past SPSS and Statistica. > > I put together a list but would like to pick the "best of" > and avoid redundancy. > > Any suggestions on these books would be helpful (i.e. too much overlap, > porly written etc?) > > Books: > 1-Analysis of Integrated and Co-integrated Time Series with R (Use R) - > Bernhard Pfaff > 2-An Introduction to R - W. N. Venables > 3-Statistics: An Introduction using R - Michael J. Crawley > 4-R Graphics (Computer Science and Data Analysis) - Paul Murrell > 5-A Handbook of Statistical Analyses Using R - Brian S. Everitt > 6-Introductory Statistics with R - Peter Dalgaard > 7-Using R for Introductory Statistics - John Verzani > 8-Data Analysis and Graphics Using R - John Maindonald; > 9-Linear Models with R (Texts in Statistical Science) - Julian J. > Faraway > 10-Analysis of Financial Time Series (Wiley Series in Probability and > Statistics)2nd edition - Ruey S. Tsay > > Thanks. > > Neil Gottlieb ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
