Re: [R] Statitics Textbook - any recommendation?

From: Rob J Goedman <goedman_at_mac.com>
Date: Wed 20 Sep 2006 - 22:15:06 GMT

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@stat.math.ethz.ch
>> [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of Iuri Gavronski
>> Sent: Wednesday, September 20, 2006 1:22 PM
>> To: r-help@stat.math.ethz.ch
>> 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.
>>
>> ______________________________________________
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>> PLEASE do read the posting guide
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>>
>
> ______________________________________________
> R-help@stat.math.ethz.ch 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.



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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. Received on Thu Sep 21 08:30:41 2006

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