Excuses me Dear Martin, 
 
 I have make a mistake when posting my message !
 
 Sincerly !

----- Message d'origine ----
De : Martin Maechler <maechler@stat.math.ethz.ch>
À : justin bem <justin_bem@yahoo.fr>
Cc : Martin Maechler <maechler@stat.math.ethz.ch>
Envoyé le : Vendredi, 22 Septembre 2006, 7h39mn 25s
Objet : Re: Re : [R] Statitics Textbook - any recommendation?

>>>>> "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/
    GS> %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%

    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.





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