[R] Re : Statitics Textbook - any recommendation?

From: justin bem <justin_bem_at_yahoo.fr>
Date: Fri 22 Sep 2006 - 17:46:14 GMT


Excuses me Dear Martin,  

 I have make a mistake when posting my message !  

 Sincerly !

>>>>> "justin" == justin bem <justin_bem@yahoo.fr> >>>>> on Thu, 21 Sep 2006 19:00:24 +0000 (GMT) writes:

    justin> Why need to learn Statistic in R in the same book ?
    justin> I think it is not very efficient. you can use a book
    justin> to learn how to use R in statistic, and you get
    justin> statistic skills by reading many others books.

Good point.
Why are you sending this only to me rather than back to R-help?

Bonnes salutations de Zurich!
Martin

    justin> ----- Message d'origine ---- De : Martin Maechler
    justin> <maechler@stat.math.ethz.ch> À : Iuri Gavronski
    justin> <iuri@ufrgs.br>; gavin.simpson@ucl.ac.uk Cc :
    justin> Charles.Annis@statisticalengineering.com;
    justin> r-help@stat.math.ethz.ch Envoyé le : Jeudi, 21
    justin> Septembre 2006, 9h16mn 21s Objet : Re: [R] Statitics
    justin> Textbook - any recommendation?

>>>>> "GS" == Gavin Simpson <gavin.simpson@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,
    GS> 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
    GS> bought Peter Dalgaard's book to a) learn some R and b)
    GS> learn some statistics. They have found it very useful
    GS> indeed.

    justin> Yes!  I'm pretty sure it has been the first book of
    justin> its kind ("Intro Stats + R"), and in my view is     justin> still the best.

    justin> Martin Maechler, ETH Zurich

>>> Charles Annis, P.E.
>>>
>>> Charles.Annis@StatisticalEngineering.com phone:
>>> 561-352-9699 eFax: 614-455-3265
>>> http://www.StatisticalEngineering.com
>>>
>>>
>>> -----Original Message----- From:
>>> r-help-bounces@stat.math.ethz.ch
>>> [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of
>>> Mike Nielsen Sent: Wednesday, September 20, 2006 6:36 PM
>>> To: Berton Gunter Cc: r-help@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@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@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.
>>> > >
>>> > > ______________________________________________ > >
>>> 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.
>>> > >
>>> >
>>> > ______________________________________________ >
>>> 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.
>>> >
>>>
>>>
>>>
>>> --
>>> Regards,
>>>
>>> Mike Nielsen
>>>
>>> ______________________________________________
>>> 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.
>>>
>>> ______________________________________________
>>> 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.

    GS> --
    GS> %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%
    GS> *Note new Address and Fax and Telephone numbers from
    GS> 10th April 2006*
    GS> %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%
    GS> Gavin Simpson [t] +44 (0)20 7679 0522 ECRC [f] +44 (0)20
    GS> 7679 0565 UCL Department of Geography Pearson Building
    GS> [e] gavin.simpsonATNOSPAMucl.ac.uk Gower Street London,
    GS> UK [w] http://www.ucl.ac.uk/~ucfagls/cv/ WC1E 6BT [w]
    GS> http://www.ucl.ac.uk/~ucfagls/
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    GS> ______________________________________________
    GS> R-help@stat.math.ethz.ch mailing list
    GS> https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do
    GS> read the posting guide

    GS> http://www.R-project.org/posting-guide.html and provide     GS> commented, minimal, self-contained, reproducible code.
    justin> ______________________________________________
    justin> R-help@stat.math.ethz.ch mailing list
    justin> https://stat.ethz.ch/mailman/listinfo/r-help PLEASE
    justin> do read the posting guide
    justin> http://www.R-project.org/posting-guide.html and
    justin> provide commented, minimal, self-contained,     justin> reproducible code.

    justin> [[alternative HTML version deleted]]

        [[alternative HTML version deleted]]



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