I think the development version also fixes that problem, but it's hard to know without a reproducible example ....
Hadley On Thu, Apr 15, 2010 at 2:33 PM, Jeff Newmiler <jdnew...@dcn.davis.ca.us> wrote: > This is good news, although I have recently encountered what I consider > excessive memory usage in the addition of key columns that don't affect the > number of groups. For example, grouping by Year and Month, if I add > MonthBegin, a POSIXct column from which the Year and Month columns were > derived, I run out of memory. > > hadley wickham <h.wick...@gmail.com> wrote: > >>On Thu, Apr 15, 2010 at 1:16 AM, Chuck <vijay.n...@gmail.com> wrote: >>> Depending on the size of the dataframe and the operations you are >>> trying to perform, aggregate or ddply may be better. In the function >>> below, df has the same structure as your dataframe. >> >>Current version of plyr: >> >> agg ddply >>X10 0.005 0.007 >>X100 0.007 0.026 >>X1000 0.086 0.248 >>X10000 0.577 3.136 >>X1e.05 4.493 44.147 >> >>Development version of plyr: >> >> agg ddply >>X10 0.003 0.005 >>X100 0.007 0.007 >>X1000 0.042 0.044 >>X10000 0.410 0.443 >>X1e.05 4.479 4.237 >> >>So there are some big speed improvements in the works. >> >>Hadley >> >> >>-- >>Assistant Professor / Dobelman Family Junior Chair >>Department of Statistics / Rice University >>http://had.co.nz/ >> >>______________________________________________ >>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. > -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ ______________________________________________ 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.