Although Crawley is an ecologist, not a programmer or statistician. But he is an FRS. Maybe that counts for something. ;-)
Simon. On Thu, 2007-11-08 at 01:56 +0300, Alexy Khrabrov wrote: > With all due respect to the great book -- of which I own 2 copies I > bought new -- it's not an "O'Reilly Programming in <X>" book. The > idea of a programming book like that is to thoroughly treat the > language from a programmer's standpoint, in a fairly standard way, > such as Ruby or Python. > > As I'm learning more of statistics with R, I prefer to do it with the > book by Crawley. Looks like most of R books are written by > statisticians who became programmers, not the other way. Through all > those years I periodically follow R, I forget its programming spirit > in between, and there's no "Programming ..." book to help. > Statistics is hard to forget once you master it; syntax sugar melts > away... > > "Programming with Data" is the closest to an O'Reilly, but more > advanced and esoteric than that. > > Since R became a bona fide Open Source language with CRAN and all, an > O'Reilly book by a [Python and Ruby] programmer-turn-statistician is > long overdue! If it systematically compares R with Ruby and Python, > its closest Open Source cousins, it would help even more. RPy and > RRb are there to help, too. Just my $0.01... > > Cheers, > Alexy > > On Nov 7, 2007, at 7:46 PM, Bert Gunter wrote: > > >>> (Will someone here please write an O'Reilly's "Programming in > >>> R"? :) > > > > Someone already has ... see Venable and Ripley's S PROGRAMMING. > > > > **However** R is more than a general purpose programming language: > > it is a > > programming language specifically designed for data analysis -- > > including > > statistical graphics -- and statistics. So, IMHO anyway, it's really > > impossible to discuss it without reference to the data structures and > > procedures underlying such tasks. Because it is targeted to do > > those sorts > > of things well, it may handle poorly some things that general purpose > > languages do well (minimizing storage with the use of references, for > > example). > > > > My own experience is that one appreciates the power and beauty of the > > language and the wisdom of the designers the more one uses it in real > > applications. But I am not a computer scientist and have only a > > limited > > exposure to standard CS concepts and algorithms, to say nothing of > > "real" > > programming experience. So just my $.02. > > > > Best regards, > > > > Bert Gunter > > Genentech Nonclinical Statistics > > > > ______________________________________________ > 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. -- Simon Blomberg, BSc (Hons), PhD, MAppStat. Lecturer and Consultant Statistician Faculty of Biological and Chemical Sciences The University of Queensland St. Lucia Queensland 4072 Australia Room 320 Goddard Building (8) T: +61 7 3365 2506 email: S.Blomberg1_at_uq.edu.au Policies: 1. I will NOT analyse your data for you. 2. Your deadline is your problem. The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. - John Tukey. ______________________________________________ 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.
