On Fri, Oct 26, 2012 at 4:23 AM, stats12 <ska...@gmail.com> wrote: > Dear R users, > > I need to run 1000 simulations to find maximum likelihood estimates. I > print my output as a vector. However, it is taking too long. I am running 50 > simulations at a time and it is taking me 30 minutes. Once I tried to run > 200 simulations at once, after 2 hours I stopped it and saw that only about > 40 of them are simulated in those 2 hours. Is there any way to make my > simulations faster? (I can post my code if needed, I'm just looking for > general ideas here). Thank you in advance. >
Code would be nice: I struggle to think of an basic MLE fitting that would take ~36s per iteration and scale so badly if you are writing idiomatic R: http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example Finally, I note you're posting from Nabble. Please include context in your reply -- I don't believe Nabble does this automatically, so you'll need to manually include it. Most of the regular respondents on this list don't use Nabble -- it is a _mailing list_ after all -- so we don't get the forum view you do, only emails of the individual posts. Combine that with the high volume of posts, and it's quite difficult to trace a discussion if we all don't make sure to include context. RMW ______________________________________________ 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.
