I would certainly consider the Michael Crawley's: Statistics, an
introduction using R
(maybe before turning to MASS?).

Rob


On Sep 20, 2006, at 2:09 PM, Berton Gunter wrote:

> Not withstanding Prof. Heiberger's admirable enthusiasm, I think the
> canonical answer is probably MASS (Modern Applied Statistics with
> S) by
> Venables and Ripley. It is very comprehensive, but depending on your
> background, you may find it too telegraphic.
>
> -- Bert Gunter
> Genentech Non-Clinical Statistics
> South San Francisco, CA
>
> "The business of the statistician is to catalyze the scientific
> learning
> process." - George E. P. Box
>
>
>
>> -----Original Message-----
>> From: r-help-bounces@(protected)
>> [mailto:r-help-bounces@(protected)
>> Sent: Wednesday, September 20, 2006 1:22 PM
>> To: r-help@(protected)
>> Subject: [R] Statitics Textbook - any recommendation?
>>
>> I would like to buy a basic statistics book (experimental design,
>> sampling, ANOVA, regression, etc.) with examples in R. Or
>> download it
>> in PDF or html format.
>> I went to the CRAN contributed documentation, but there were only R
>> textbooks, that is, textbooks where R is the focus, not the
>> statistics. And I would like to find the opposite.
>> Other text I am trying to find is multivariate data analysis (EFA,
>> cluster, mult regression, MANOVA, etc.) with examples with R.
>> Any recommendation?
>>
>> Thank you in advance,
>>
>> Iuri.
>>
>> ______________________________________________
>> R-help@(protected)
>> 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@(protected)
> 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.

______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.