Most books on R I come across describe running statistical procedures in R. Any suggestions on a good book that teaches *programming* in R? Thanks, Anjan -- ============================anjan purkayastha, phd bioinformatics analyst whitehead institute for biomedical research nine cambridge center cambridge, ma 02142 purkayas [at] wi [dot] mit [dot] edu 703.740.6939 [[alternative HTML version deleted]]
ANJAN PURKAYASTHA ha scritto:> Most books on R I come across describe running statistical procedures in R. > Any suggestions on a good book that teaches *programming* in R? > Thanks, > Anjan > >Here there are a few http://www.r-project.org/doc/bib/R-books.html [42] and [79] may be good starting points -- Ottorino
ANJAN PURKAYASTHA wrote:> Most books on R I come across describe running statistical procedures in R. > Any suggestions on a good book that teaches *programming* in R? > Thanks, > Anjan >The current crop seems to be mainly Braun & Murdoch (2007) Venables & Ripley (2000) Chambers (2008) Gentleman (2008) each with their strengths and weaknesses. As already mentioned, check http://www.r-project.org/doc/bib/R-books.html -- O__ ---- Peter Dalgaard ?ster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
Hi, ANJAN PURKAYASTHA wrote:> Most books on R I come across describe running statistical procedures in R. > Any suggestions on a good book that teaches *programming* in R? > Thanks, > Anjan >This is being really useful for me... John M. Chambers (2008) Software for Data Analysis. Programming with R. Springer. http://tinyurl.com/lg7g8n HTH -- Ricardo Rodr?guez Your XEN ICT Team
ANJAN PURKAYASTHA wrote:> Most books on R I come across describe running statistical procedures > in R. > Any suggestions on a good book that teaches *programming* in R? > Thanks, > AnjanI'm in the midst of writing such a book right now. It will be published early next year, by the whimsically named No Starch Press, a subsidiary of O'Reilly (the "menagenary" series on programming languages and software). You've seen the NSP series in bookstores, with the yellow and black motif. I published a book on debugging with them last year, with Peter Salzman. I just checked with NSP, and they say that I can provide the current manuscript if anyone is interested. Just sent me an e-mail message requesting it. That current manuscript is about 75% complete. Obviously, due to its incomplete state, it likely has various bugs in the code (though I've run all the code), missed opportunities (i.e. code that could be written better if I were to make better use of R constructs), and incorrect statements. But hopefully there are not many such cases, and it should be useful to R programmers, both beginning and experienced. Needless to say, I would like to hear of any such cases you find. A bit on the background I bring to this book project: My PhD was in Math at UCLA, with a thesis in probability theory and a lot of work in applied statistics. I was a founding member of the Dept. of Statistics at UC Davis, but later moved to form the Dept. of Computer Science. My CS research work has often been statistical in nature. I'm an R user going way back to the "blue book" days of S. Norm Matloff