On Thu, Mar 15, 2012 at 2:24 PM, Ramiro Barrantes <ram...@precisionbioassay.com> wrote: > Hello, > > I have a program that consists of a loop fitting a function over many models. > Sometimes the fitting on a particular model takes minutes to converge. Is > there a way that I can limit the amount of time that R spends on a given > model:
AFAIK, no -- this is an OS level issue. Of course, most iterative fitting procedures have controls for the number of iterations, convergence criteria, etc. , but there is no awareness of timing except when the OS is interrogated, e.g. by ?proc.time or ?system.time . Such calls would have to be built into the fitting function or OS level services would have to be invoked to run the R process with timing limitations built in. See e.g. ?Rscript for one possible approach. Corrections or clever tricks to get around these perceived limitations welcomed, of course. -- Bert Cheers, Bert > > say if my line is: > > fittingFunction( func, model.1) > > can I have some function: > > stopIfUnderTime( fittingFunction( func, model.1) , 5 ) > > where stopIfUnderTime will return the result if it finishes under 5 seconds, > or NA otherwise. > > Is there anything like this? (just looked through the web but did not find > anything) > > Thanks, > Ramiro > > > > [[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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.
