[R] Useful books for learning the R software and the S programming language

[Carlos Guerra]

Robert,

I have Peter's book and I think it can be a very good place to start  
from... dispite the discount... :)

If you like spatial analysis you can try to look for Roger Bivand et  
al. "Applied Spatial Data Analysis with R", If you are into something  
else try the "Use R" collection from Springer... you may find  
something not that "pricey" that you can use.

Best regards
Carlos

Em 2009/01/12, às 22:07, Peter Dalgaard escreveu:

> Robert Wilk wrote:
>> any useful books for learning the R statistical software?
>> are they pricey?
>
> Many. "Useful" depends on the reader, though, so look around. Here's  
> a starting point
>
> http://www.r-project.org/doc/bib/R-books.html
>
> (modesty should forbid me to point at item 18 on the list and the  
> fact that Amazon US has it currently 19% discounted....)
>
> In general R books are cheaper than statistical monographs, but more  
> expensive than the large market computer science books.
>
>> and if the books recommended focus on S, how compatible will they  
>> be for
>> someone learning R?
>
> Such books are strongly outnumbered by now. One important book from  
> that group is Venables+Ripley's Modern Applied Statistics with S  
> explicitly addresses R issues.
>
>> thank you in advance for your help.
>> P.S.
>> specialized survey statistical procedures? Is R good at that?
>
> Not R in itself, but the "survey" package for it is rumoured to be  
> state of the art, and its author has a book on it in its final stages.
>
>
> -- 
>   O__  ---- Peter Dalgaard             Øster Farimagsgade 5, Entr.B
>  c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
> (*) \(*) -- University of Copenhagen   Denmark      Ph:  (+45)  
> 35327918
> ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk)              FAX: (+45)  
> 35327907
>
> ______________________________________________
> R-help at 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.