Re: [R] The R Book by M. J. Crawley
Pietrzykowski, Matthew (GE, Research) [EMAIL PROTECTED] wrote: Hello all- I would appreciate any guidance that can be provided. I am new to R and am using it exclusively in a statistics program I am undertaking that mainly references Minitab. My focus is on data modeling and further more multivariate data analysis [...] I I am looking for a reference that has sound statistical foundations with relevant R commands as well as multivariate support. I saw the new book, The R Book, by Michael J. Crawley and wanted to know what R users thoughts of it. I can't comment on The R Book, as I haven't seen it. This is to point out some other references for your consideration. In order of most technical to most relaxed: The standard reference for many R users is Modern Applied Statistics with S by Venables and Ripley, two important contributors to R. This has a language introduction and a great variety of statistical material in its 500 pages. Though I haven't read every word, I would not for a nanosecond doubt its sound statistical foundations. It seems to me that every R user would benefit from having MASS (as it's called) on his shelf. More relaxed in presentation but still with some multivariate coverage is Data Analysis and Graphics using R, by Maindonald and Braun, also names quite familiar to most R users. This is more typical of a introductory statistics textbook, and shorter (about 350 p.). Even more relaxed but with less breadth of statistical topics is Introductory Statistics with R by Dalgaard, yet another familiar contributor to R. This is an excellent introductory book. After I had been using R for 5 years, I bought a copy and learned several good things immediately. About 270 p. You may want to examine those (along with Crawley's) before settling on the what you want to buy. I hope that helps. Mike -- Mike Prager, NOAA, Beaufort, NC * Opinions expressed are personal and not represented otherwise. * Any use of tradenames does not constitute a NOAA endorsement. __ 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] The R Book by M. J. Crawley
Have you seen The Basics of S Plus, by Krause and Olson? It's really good too . On 7/5/07, Mike Prager [EMAIL PROTECTED] wrote: Pietrzykowski, Matthew (GE, Research) [EMAIL PROTECTED] wrote: Hello all- I would appreciate any guidance that can be provided. I am new to R and am using it exclusively in a statistics program I am undertaking that mainly references Minitab. My focus is on data modeling and further more multivariate data analysis [...] I I am looking for a reference that has sound statistical foundations with relevant R commands as well as multivariate support. I saw the new book, The R Book, by Michael J. Crawley and wanted to know what R users thoughts of it. I can't comment on The R Book, as I haven't seen it. This is to point out some other references for your consideration. In order of most technical to most relaxed: The standard reference for many R users is Modern Applied Statistics with S by Venables and Ripley, two important contributors to R. This has a language introduction and a great variety of statistical material in its 500 pages. Though I haven't read every word, I would not for a nanosecond doubt its sound statistical foundations. It seems to me that every R user would benefit from having MASS (as it's called) on his shelf. More relaxed in presentation but still with some multivariate coverage is Data Analysis and Graphics using R, by Maindonald and Braun, also names quite familiar to most R users. This is more typical of a introductory statistics textbook, and shorter (about 350 p.). Even more relaxed but with less breadth of statistical topics is Introductory Statistics with R by Dalgaard, yet another familiar contributor to R. This is an excellent introductory book. After I had been using R for 5 years, I bought a copy and learned several good things immediately. About 270 p. You may want to examine those (along with Crawley's) before settling on the what you want to buy. I hope that helps. Mike -- Mike Prager, NOAA, Beaufort, NC * Opinions expressed are personal and not represented otherwise. * Any use of tradenames does not constitute a NOAA endorsement. __ 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] The R Book by M. J. Crawley
G'day Uwe, On Tue, 03 Jul 2007 14:33:05 +0200 Uwe Ligges [EMAIL PROTECTED] wrote: Pietrzykowski, Matthew (GE, Research) wrote: I saw the new book, The R Book, by Michael J. Crawley and wanted to know what R users thoughts of it. The author seems to be an expert in (almost?) all available statistical programming languages I would have thought that honour would go to Brian S. Everitt. :-) M.J. Crawley only seems to write books using S-PLus and R. His book on Statistical Computing (using S-Plus) is about 750 pages and his book Statistics: An introduction using R is about 320 pages. I do not know and have not seen The R Book yet, so I cannot comment on it. The statistical material presented in the other two books is pretty sound and well explained. M.J. Crawley definitely has some strong opinions on how certain data should be analysed and how statistics should be used. The S-Plus code or R code he uses can, on occasions, be somewhat improved. Cheers, Berwin __ 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] The R Book by M. J. Crawley
Pietrzykowski, Matthew (GE, Research) wrote: Hello all- I would appreciate any guidance that can be provided. I am new to R and am using it exclusively in a statistics program I am undertaking that mainly references Minitab. My focus is on data modeling and further more multivariate data analysis as much of my work in involves chemical measurements from custom sensors using all sorts of transduction methods. I am looking for a reference that has sound statistical foundations with relevant R commands as well as multivariate support. I saw the new book, The R Book, by Michael J. Crawley and wanted to know what R users thoughts of it. The author seems to be an expert in (almost?) all available statistical programming languages and able to write almost 1000 pages about these languages. He also seems to be a perfect R programmer, since the title is The R book. Uwe Ligges Thanks in advance, Matt [[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-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.
