You can start with ?Rprof which can help you find out what steps in your calculations are taking the most time.
Depending on what, exactly, you're doing, look for places where you're using a data frame when a matrix would serve the purpose. Data frames have more overhead than matrices. Sarah Goslee's suggestion to avoid growing in place is a good one. -Don -- Don MacQueen Lawrence Livermore National Laboratory 7000 East Ave., L-627 Livermore, CA 94550 925-423-1062 On 3/14/16, 2:32 PM, "R-help on behalf of Ragia ." <r-help-boun...@r-project.org on behalf of ragi...@hotmail.com> wrote: > > > > >Dear group >I have two R sessions running on Ubuntu 14.0x server , and I found that >my program will take too long time to be finished( months...!), I used >top command and found that cpu usage is 21.3%. > >the server is Enterprise SP-64 - 64G E5-1630v3 SoftRaid 2x2 TB Server . 6 >core > >how can I speed the program, kindly I need tutorial or book chapter that >helps.. >thanks in advance >Ragia > > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
