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
I'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 ______________________________________________ R-help@r-project.org 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.
