Hi Matthew, > Sounds like its working, but could you give us an idea whether it is quick > and memory efficient ?
I actually can't believe what I'm seeing, I just recoded the function to use data.table. What has taken something on the order of ~ 20-30mins with an lapply/do.call(rbind, ...) combo (actually I was using sqldf to do quicker subselects) just finished in < 1 min. The memory being used in my R workspace now is still under 2GB, where previously it was ~ 8GB when do.call(rbind, ...)-ing my list into a data.frame, and +20GB with ddply. I'm going to double check that I have the same results, but for now I'm completely blown away. data.table is awesome, thanks for this package. -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ______________________________________________ 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.
