Thanks guys for the recomendations! :)
aaront wrote on 11/29/2007 : > I am currently using: ---John Maindonald and John Braun. Data Analysis and > Graphics Using R--- and find it very useful, note that there now is a 2007 > edition. > > Most of the texts mentioned in the previous link have reviews on Amazon. > > > Jared O'Connell-2 wrote: >> >> This page may be helpful :) >> >> http://www.r-project.org/doc/bib/R-books.html >> >> Modern Applied Statistics with S is quite broad and very good. >> >> On Nov 28, 2007 4:38 PM, Max <[EMAIL PROTECTED]> wrote: >>> Hi everyone! >>> >>> I've recently begun to learn R for my job as the IT department suffers >>> from lack of funding for new software. I was talking to the guy in >>> charge of Requisitions and have found out the budget for books is in >>> great shape. >>> >>> So, I'm curious what books people know of that have R examples and are >>> good for: >>> >>> 1.) Uni and Multivariate Time Series Analysis/Forecasting >>> >>> 2.) GLMs (at this point it looks like I'll be focusing on nominal and >>> ordinal regression models) >>> >>> 3.) Survival Models >>> >>> 4.) Multiple Regression >>> >>> Any suggestions would be awesome. :) >>> >>> thanks, >>> >>> -Max >>> >>> ______________________________________________ >>> R-help@r-project.org 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. >>> >> >> ______________________________________________ >> R-help@r-project.org 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. >> >> ______________________________________________ R-help@r-project.org 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.
