Dear all, I am running a simulation in which I randomly generate a series of vectors to test whether they fulfill a certain condition. In most cases, there is no problem. But from time to time, the (randomly) generated vectors are too large for my system and I get the error message: "Cannot allocate vector of size x". The problem is that in those cases my simulation stops and I have to start it again manually. What I would like to do is to simply ignore that the error happened (or probably report that it did) and then continue with another (randomly) generated vector. So my question: Is there a way to avoid that R stops in such a case and just restarts the program from the beginning as if nothing happened? I hope I'm making myself clear here ... Thanks, Michael [[alternative HTML version deleted]]
Check one of the examples in ?try It has this heading: ## run a simulation, keep only the results that worked. If your system is Windows, you can also try to increase the memory available for one application, in order to avoid the problem. Do a search for "3GB switch" HTH Dr. Ruben H. Roa-Ureta Senior Researcher, AZTI Tecnalia, Marine Research Division, Txatxarramendi Ugartea z/g, 48395, Sukarrieta, Bizkaia, Spain -----Mensaje original----- De: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] En nombre de Michael Haenlein Enviado el: mi?rcoles, 21 de septiembre de 2011 11:54 Para: r-help at r-project.org Asunto: [R] Cannot allocate vector of size x Dear all, I am running a simulation in which I randomly generate a series of vectors to test whether they fulfill a certain condition. In most cases, there is no problem. But from time to time, the (randomly) generated vectors are too large for my system and I get the error message: "Cannot allocate vector of size x". The problem is that in those cases my simulation stops and I have to start it again manually. What I would like to do is to simply ignore that the error happened (or probably report that it did) and then continue with another (randomly) generated vector. So my question: Is there a way to avoid that R stops in such a case and just restarts the program from the beginning as if nothing happened? I hope I'm making myself clear here ... Thanks, Michael [[alternative HTML version deleted]] ______________________________________________ R-help at 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.
how much memory do you have on your system? How large are the vectors you are creating? How many other large vectors do you have in memory? Remove all unused objects and do gc() to reclaim some of the memory. Remember all objects are in memory and you have to understand how large they are and how many you have. Ther is more information you have to provide and some more inspection you have to do. Sent from my iPad On Sep 21, 2011, at 5:53, Michael Haenlein <haenlein at escpeurope.eu> wrote:> Dear all, > > I am running a simulation in which I randomly generate a series of vectors > to test whether they fulfill a certain condition. In most cases, there is no > problem. But from time to time, the (randomly) generated vectors are too > large for my system and I get the error message: "Cannot allocate vector of > size x". > > The problem is that in those cases my simulation stops and I have to start > it again manually. What I would like to do is to simply ignore that the > error happened (or probably report that it did) and then continue with > another (randomly) generated vector. > > So my question: Is there a way to avoid that R stops in such a case and just > restarts the program from the beginning as if nothing happened? > I hope I'm making myself clear here ... > > Thanks, > > Michael > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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.