memory issues with new release (PR#9344)
It would be helpful to produce a script that reproduces the error on your system. And include details on the size of your data set and what you are doing with it. It is unclear what function is actually causing the error and such. Really, in order to do something about it you need to show how to actually obtain the error. To my knowledge nothing _major_ has happened with the memory consumption, but of course R could use slightly more memory for specific purposes. But chances are that this is not really memory related but more related to the functions your are using - perhaps a bug or perhaps a user error. Kasper
On Nov 6, 2006, at 10:20 AM, Derek Stephen Elmerick wrote:
thanks for the friendly reply. i think my description was fairly clear: i import a large dataset and run a model. using the same dataset, the process worked previously and it doesn't work now. if the new version of R requires more memory and this compromises some basic data analyses, i would label this as a bug. if this memory issue was mentioned in the documentation, then i apologize. this email was clearly not well received, so if there is a more appropriate place to post these sort of questions, that would be helpful. -derek On 06 Nov 2006 18:20:33 +0100, Peter Dalgaard <p.dalgaard at biostat.ku.dk> wrote:
delmeric at gmail.com writes:
Full_Name: Derek Elmerick Version: 2.4.0 OS: Windows XP Submission from: (NULL) (38.117.162.243) hello - i have some code that i run regularly using R version 2.3.x . the final
step of
the code is to build a multinomial logit model. the dataset is large;
however, i
have not had issues in the past. i just installed the 2.4.0 version of R
and now
have memory allocation issues. to verify, i ran the code again against
the 2.3
version and no problems. since i have set the memory limit to the max
size, i
have no alternative but to downgrade to the 2.3 version. thoughts?
And what do you expect the maintainers to do about it? ( I.e. why are you filing a bug report.) You give absolutely no handle on what the cause of the problem might be, or even to reproduce it. It may be a bug, or maybe just R requiring more memory to run than previously. -- O__ ---- Peter Dalgaard ?ster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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