>>>>> "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, 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. >> >> [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: 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 <[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: 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 10th April 2006* GS> %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% GS> Gavin Simpson [t] +44 (0)20 7679 0522 GS> ECRC [f] +44 (0)20 7679 0565 GS> UCL Department of Geography GS> Pearson Building [e] gavin.simpsonATNOSPAMucl.ac.uk GS> Gower Street GS> London, UK [w] http://www.ucl.ac.uk/~ucfagls/cv/ GS> WC1E 6BT [w] 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 GS> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html GS> 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.