There are many possibilities, but they all begin with reading the posting guide and following the recommendations therein so we don't have to guess what your actual configuration is. However, since your first task is to read, you might consider reading the FAQs on memory use and Windows specifically so you can ask more specific questions. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity.
Gary Dong <pdxgary...@gmail.com> wrote: >Dear R community, > >I'm running "a mlogit" function with a very large data set. Since the >data >size is so large, I got the Error: > >Error: cannot allocate vector of size 5.4 Mb >In addition: Warning messages: >1: In mapply("*", X, P, SIMPLIFY = FALSE) : > Reached total allocation of 16340Mb: see help(memory.size) >2: In mapply("*", X, P, SIMPLIFY = FALSE) : > Reached total allocation of 16340Mb: see help(memory.size) >3: In mapply("*", X, P, SIMPLIFY = FALSE) : > Reached total allocation of 16340Mb: see help(memory.size) >4: In mapply("*", X, P, SIMPLIFY = FALSE) : > Reached total allocation of 16340Mb: see help(memory.size) > >I'm using win7 and my computer has 16G memory. Is there a way that I >can >make R use the memory more efficiently? > >Thanks! >Gary > > [[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. ______________________________________________ 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.