Use "Rprof" on a small sample and determine where the time is being spent. Do some periodic gc() or memory.size() to see how fast you are using up memory. Do an object.size on all your objects to see see how be they are. This would help in the determination of the problem.
On Mon, Aug 31, 2009 at 7:01 AM, alexander russell<ssv...@gmail.com> wrote: > Hello, > > After putting together interaction code that worked for a single pair of > interactions, when I try to evaluate two pairs of interactions( > flowers*gopher, flowers*rockiness) my computer runs out of memory, and the > larger desktop I use just doesn't go anywhere after about 20 minutes. > > Is it really that big a calculation? > > to start: > > mle2(minuslogl = Lily_sum$seedlings ~ dnbinom(mu = a, size = k), > > start = list(a = 10, k = 1)) > then: > i2<-interaction(Lily_sum$flowers, Lily_sum$gopher) > > i3<-interaction(Lily_sum$flowers, Lily_sum$rockiness) > > mle2(Lily_sum$seedlings ~ dnbinom(mu = a, size = k), start=list(a=10,k=1) > ,parameters=list(a~i3+i2+Lily_sum$flowers)) > > (the last run leads to a stalled calculation) > > regards, > > R > > [[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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that 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.
