Roland Rau wrote: > Hi, > > [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 >> > > as one other message says, it depends a lot on your ideas what you want > to do with R. And, I'd like to add, how familiar you are with statistics. > One book I am missing in your list is Venables / Ripley: Modern Applied > Statistics with S. I can highly recommend it. > If you are going to buy yourself only one book, then I would say: buy > Venables/Ripley > > > And given the programming background, also check out the other V&R book, "S Programming". (This is about R too).
-- O__ ---- Peter Dalgaard Ă˜ster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ [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.
