Re: [R] Statitics Textbook - any recommendation?
How about this book by Julian Faraway. http://www.stat.lsa.umich.edu/~faraway/book/ It covers only regression and anova, but I really like the book. It gives a good overview of the important topics in linear regression and anova. Also it is on the web and hence free. Ritwik On 9/22/06, Wolfgang Lindner [EMAIL PROTECTED] wrote: Iuri Gavronski schrieb: Other text I am trying to find is multivariate data analysis (EFA, cluster, mult regression, MANOVA, etc.) with examples with R. Hi Iuri, for your second answer I would recommend B. Everitt: An R and S-PLUS Companion to Multivariate Analysis. Springer 2005. isbn 1-85233-882-2. Best Wolfgang -- privat: Wolfgang Lindner, Stieglitzweg 6, D-42799 Leichlingen __ 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. -- Ritwik Sinha Graduate Student Epidemiology and Biostatistics Case Western Reserve University http://darwin.cwru.edu/~rsinha __ 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.
Re: [R] Statitics Textbook - any recommendation?
Iuri Gavronski schrieb: Other text I am trying to find is multivariate data analysis (EFA, cluster, mult regression, MANOVA, etc.) with examples with R. Hi Iuri, for your second answer I would recommend B. Everitt: An R and S-PLUS Companion to Multivariate Analysis. Springer 2005. isbn 1-85233-882-2. Best Wolfgang -- privat: Wolfgang Lindner, Stieglitzweg 6, D-42799 Leichlingen __ 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.
Re: [R] Statitics 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, 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
Re: [R] Statitics Textbook - any recommendation?
Martin Maechler [EMAIL PROTECTED] writes: 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. Thanks for the kind words, but... 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. and that does to some extent apply to my book too. Perhaps have a look at Maindonald Braun as well. -- O__ Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 __ 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.
Re: [R] Statitics Textbook - any recommendation?
On Wednesday 20 September 2006 22:21, Iuri Gavronski wrote:
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?
I'd say the situation is actually the opposite. Anyway, the recent book by
Brian Everitt and Torsten Hothorn (A handbook of statistical analyses using
R. Chapman Hall) is an excellent (and affordable) place to start. (I think
that this book's context emphasizes that it is stats with R as the language:
Everitt has (co)authored a bunch of others in other languages ---SAS, Stata,
SPSS, etc).
Of course, there are many others that probably deserver a place on your (or
your library's) shelves:
P. Dalgaard's
MASS
Maindonald Braun
Heiberger Holland
etc
HTH,
R.
Thank you in advance,
Iuri.
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Re: [R] Statitics Textbook - any recommendation?
Hi all, I am very fond of Using R for Introductory Statistics by John Verzani, 2005, Chapman Hall. Regards D. Trenkler -- Dietrich Trenkler c/o Universitaet Osnabrueck Rolandstr. 8; D-49069 Osnabrueck, Germany email: [EMAIL PROTECTED] __ 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.
Re: [R] Statitics Textbook - any recommendation?
MJ Crawley Statistics: An Introduction Using R, received a good review in Journal of the Royal Statistical Society, Vol 169. Dan Bebber Dr. Daniel P. Bebber Department of Plant Sciences University of Oxford South Parks Road Oxford OX1 3RB UK [[alternative HTML version deleted]] __ 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] 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.
Re: [R] Statitics Textbook - any recommendation?
I recommend mine, which is listed in CRAN, Statistical Analysis and Data Display Richard M. Heiberger and Burt Holland http://springeronline.com/0-387-40270-5 All examples and figures in the book are included in the online files that may be downloaded from the book's website. The R package HH containing the R functions from the online files is now on CRAN. __ 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.
Re: [R] Statitics Textbook - any recommendation?
Venables and Ripley's Modern Applied Statistics with S was recommended on the CRAN site, and I like it myself. On 9/20/06, Iuri Gavronski [EMAIL PROTECTED] wrote: 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. -- I can answer any question. I don't know is an answer. I don't know yet is a better answer. __ 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.
Re: [R] Statitics Textbook - any recommendation?
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.
Re: [R] Statitics Textbook - any recommendation?
I would certainly consider the Michael Crawley's: Statistics, an introduction using R (maybe before turning to MASS?). Rob On Sep 20, 2006, at 2:09 PM, Berton Gunter 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. __ 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.
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.
Re: [R] Statitics Textbook - any recommendation?
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. 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.
Re: [R] Statitics Textbook - any recommendation?
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. I couldn't agree more. A number of my colleagues have bought Peter Dalgaard's book to a) learn some R and b) learn some statistics. They have found it very useful indeed. G 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. -- %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% *Note new Address and Fax and Telephone numbers from 10th April 2006* %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% Gavin Simpson [t] +44 (0)20 7679 0522 ECRC [f] +44 (0)20 7679 0565 UCL Department of Geography Pearson Building [e] gavin.simpsonATNOSPAMucl.ac.uk Gower Street London, UK[w] http://www.ucl.ac.uk/~ucfagls/cv/ WC1E 6BT [w] http://www.ucl.ac.uk/~ucfagls/ %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% __ R-help
