Hej Lennart, I would like to add one thing: Often, there already exists an R function that solves the problem at hand. Instead of writing your own function, search the help files [apropos(), help.search()]. What I some times find difficult though, is guessing what key words will produce relevant search hits...
Mvh Sixten >>> <[EMAIL PROTECTED]> 2004-02-17 15:36:12 >>> I have been lurking in this list a while and searching in the archives to find out how one learns to write fast R code. One solution seems to be to write part of the code not in R but in C. However after finding a benchmark article (http://www.sciviews.org/other/benchmark.htm) I have been more interested in making the R code itself more efficient. I would like to find more info about this. I have tried to mail the contact person for the benchmark, but I have so recieved no reply. I am not an R programmer (or statistican) so I do not know R well. I am looking for some advice about writing fast R code. What about the different data types for example? Is there some good place to start to look for more info about this? Thanks for any pointers Lennart ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html