Excuses me Dear Martin,
I have make a mistake when posting my message !
Sincerly !
----- Message d'origine ----
De : Martin Maechler <[EMAIL PROTECTED]>
À : justin bem <[EMAIL PROTECTED]>
Cc : Martin Maechler <[EMAIL PROTECTED]>
Envoyé le : Vendredi, 22 Septembre 2006, 7h39mn 25s
Objet : Re: Re : [R] Statitics Textbook - any recommendation?
>>>>> "justin" == justin bem <[EMAIL PROTECTED]>
>>>>> 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> <[EMAIL PROTECTED]> À : Iuri Gavronski
justin> <[EMAIL PROTECTED]>; [EMAIL PROTECTED] Cc :
justin> [EMAIL PROTECTED];
justin> [email protected] Envoyé le : Jeudi, 21
justin> Septembre 2006, 9h16mn 21s Objet : Re: [R] Statitics
justin> Textbook - any recommendation?
>>>>> "GS" == Gavin Simpson <[EMAIL PROTECTED]>
>>>>> 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.
>>>
>>> [EMAIL PROTECTED] phone:
>>> 561-352-9699 eFax: 614-455-3265
>>> http://www.StatisticalEngineering.com
>>>
>>>
>>> -----Original Message----- From:
>>> [EMAIL PROTECTED]
>>> [mailto:[EMAIL PROTECTED] On Behalf Of
>>> Mike Nielsen Sent: Wednesday, September 20, 2006 6:36 PM
>>> To: Berton Gunter Cc: [email protected] 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 <[EMAIL PROTECTED]>
>>> 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:
>>> [EMAIL PROTECTED] > >
>>> [mailto:[EMAIL PROTECTED] On Behalf Of
>>> Iuri Gavronski > > Sent: Wednesday, September 20, 2006
>>> 1:22 PM > > To: [email protected] > > 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.
>>> > >
>>> > > ______________________________________________ > >
>>> [email protected] 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.
>>> > >
>>> >
>>> > ______________________________________________ >
>>> [email protected] 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
>>>
>>> ______________________________________________
>>> [email protected] 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.
>>>
>>> ______________________________________________
>>> [email protected] 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> [email protected] 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> [email protected] 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]]
______________________________________________
[email protected] 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.