Hi Adam, I don't think there is a faster alternative to plyr, without doing it in nested for loops, with a lot of book-keeping of variables (but if someone here were to correct me, I'd be happy to know).
Two things to consider: 1) See if you can optimizing your function. (there is a lot of material on R code optimization online) 2) plyr has a parallel processing backend. Here is a post I wrote about how to use it for windows users (as myself) : http://www.r-statistics.com/2010/09/using-the-plyr-1-2-package-parallel-processing-backend-with-windows/ Good luck, Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Wed, Aug 24, 2011 at 7:25 PM, AdamMarczak <adam.marc...@gmail.com> wrote: > Hello everyone, > I was asked to repost this again, sorry for any inconvenience. > > I'm looking replacement for ddply function from plyr package. > Function allows to apply function by category stored in any column/columns. > > Regular loops or lapplys slow down greatly because my unique combination > count exceeds 9000. Is there any available solution which allow me to apply > function by category? > > currently my code looks like snippet below > > ddply(myData, c("country_name", "product_name"), myFunction) > > Please note that I'm looking for decently performing resolution. > > Thanks in advance! > > With regards, > Adam. > > -- > View this message in context: > http://r.789695.n4.nabble.com/ddply-from-plyr-package-any-alternatives-tp3765936p3765936.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
