[R] Statitics Textbook - any recommendation?

[Gavin Simpson]

On Wed, 2006-09-20 at 18:56 -0400, Charles Annis, P.E. wrote:
> Recommending a good book on statistics is like recommending a good book on
> sports:  Which sports?
> 
> A good book for learning statistical concepts (and learning R at the same
> time), one that assumes you understand algebra but are new to statistics, is
> Peter Dalgaard's _Introductory Statistics with R_ (Springer 2002).  The
> writing is relaxed and succinct, not condescending as some texts might
> appear to a newcomer.  It's just a good book.

I couldn't agree more. A number of my colleagues have bought Peter
Dalgaard's book to a) learn some R and b) learn some statistics. They
have found it very useful indeed.

G

> 
> Charles Annis, P.E.
> 
> Charles.Annis at StatisticalEngineering.com
> phone: 561-352-9699
> eFax:  614-455-3265
> http://www.StatisticalEngineering.com
>  
> 
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Mike Nielsen
> Sent: Wednesday, September 20, 2006 6:36 PM
> To: Berton Gunter
> Cc: r-help at stat.math.ethz.ch
> Subject: Re: [R] Statitics Textbook - any recommendation?
> 
> Excellent characterization.
> 
> MASS is a very good book, but I'm not sure I would describe it as a
> statistics textbook, much less one of the "basic" variety.  While I
> certainly wouldn't presume to speak for Prof. Ripley and Dr. Venables,
> it seems unlikely their intent in writing MASS was to teach
> statistics, but rather, as the name of the book might suggest, to
> explain how S+ (and R) can be applied to modern statistical
> techniques.  My experience with this book is that it assumes
> considerable background knowledge.
> 
> By all means, buy MASS, but if you need guidance on the how and why of
> statistical techniques, you may wish to shop Amazon to find a
> supplement.
> 
> Regards,
> 
> Mike
> 
> On 9/20/06, Berton Gunter <gunter.berton at gene.com> 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 at stat.math.ethz.ch
> > > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Iuri Gavronski
> > > Sent: Wednesday, September 20, 2006 1:22 PM
> > > To: r-help at 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.
> > >
> > > ______________________________________________
> > > R-help at 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.
> > >
> >
> > ______________________________________________
> > R-help at 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.
> >
> 
> 
> 
> -- 
> Regards,
> 
> Mike Nielsen
> 
> ______________________________________________
> R-help at 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.
> 
> ______________________________________________
> R-help at 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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