[R] Cannot allocate vector of size x
rroa at azti.es
Wed Sep 21 12:28:48 CEST 2011
Yes, on a recent heavy-duty job -profile likelihood of Tweedie power parameter for a relatively complex glm with hundreds of thousands rows dataframe- I had the "cannot allocate vector ..." error, then I just closed-saved the main workspace, full of large objects, then I did the profiling on a fresh and almost empty (with strictly necessary objects) workspace, and it run successfully. Then I just loaded the two workspaces to one session, and continued happily to the end of the job. :-)
Dr. Ruben H. Roa-Ureta
Senior Researcher, AZTI Tecnalia,
Marine Research Division,
Txatxarramendi Ugartea z/g, 48395, Sukarrieta,
De: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] En nombre de Jim Holtman
Enviado el: miércoles, 21 de septiembre de 2011 12:11
Para: Michael Haenlein
CC: r-help at r-project.org
Asunto: Re: [R] Cannot allocate vector of size x
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 ...
> [[alternative HTML version deleted]]
> R-help at r-project.org mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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