[R] Statitics Textbook - any recommendation?
Martin Maechler
maechler at stat.math.ethz.ch
Thu Sep 21 09:16:21 CEST 2006
>>>>> "GS" == Gavin Simpson <gavin.simpson at ucl.ac.uk>
>>>>> on Thu, 21 Sep 2006 00:08:17 +0100 writes:
GS> 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.
GS> I couldn't agree more. A number of my colleagues have bought Peter
GS> Dalgaard's book to a) learn some R and b) learn some statistics. They
GS> have found it very useful indeed.
Yes!
I'm pretty sure it has been the first book of its kind ("Intro Stats + R"),
and in my view is still the best.
Martin Maechler, ETH Zurich
>>
>> 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
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>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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>>
>> ______________________________________________
>> R-help at stat.math.ethz.ch mailing list
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>> and provide commented, minimal, self-contained, reproducible code.
GS> --
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GS> Gavin Simpson [t] +44 (0)20 7679 0522
GS> ECRC [f] +44 (0)20 7679 0565
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GS> ______________________________________________
GS> R-help at stat.math.ethz.ch mailing list
GS> https://stat.ethz.ch/mailman/listinfo/r-help
GS> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
GS> and provide commented, minimal, self-contained, reproducible code.
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