you might want to turn your data into a matrix. You get much much faster for loops doing that.
Jean, On Fri, 6 Aug 2004 [EMAIL PROTECTED] wrote: > Dear R-helpers, > I'm dealing with large datasets, say tables of 60 000 times 12 or so, and > some of the functions are (too ) slow and I'm therefore trying to find ways > to speed them up. > I've found that for instance for-loops are slow in R (both by testing and by > searching through mail archives etc ) > Are there any more well known arguments that are slow in R, ,maybe at data > representation level, code-writing, reading in the data. > I've also tried incorporating C-code, which works well, but I'd also like to > find other, maybe more "shortcut" ways. > > Thanks in advance, > Freja! > ______________________________________________ [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
