It would be nice if you at least included the code that you are using and a subset of the data. Have you run Rprof to determine which of the functions is consuming the time?
On Thu, Jun 12, 2008 at 3:25 PM, Lana Schaffer <[EMAIL PROTECTED]> wrote: > > Greetings, > I am doing matching/merge for a table (40919x3) to data > which is in the form of a list of 1268 data.frames. Using > lapply this is taking ~5 minutes. I know that the match/merge > functions are time consuming, so is there an alternative to > this accomplish this goal? is lapply not efficient? > > Lana Schaffer > Biostatistics/Informatics > The Scripps Research Institute > DNA Array Core Facility > La Jolla, CA 92037 > (858) 784-2263 > (858) 784-2994 > [EMAIL PROTECTED] > > ______________________________________________ > 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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? ______________________________________________ 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.
