[Rd] memory issues with new release (PR#9344)

[Derek Stephen Elmerick]

Thanks for the replies. Point taken regarding submission protocol. I have
included a text file attachment that shows the R output with version 2.3.0and
2.4.0. A label distinguishing the version is included in the comments.

A quick background on the attached example. The dataset has 650,000 records
and 32 variables. the response is dichotomous (0/1) and i ran a logistic
model (i previously mentioned multinomial, but decided to start simple for
the example). Covariates in the model may be continuous or categorical, but
all are numeric. You'll notice that the code is the same for both versions;
however, there is a memory error with the 2.3.0 version. i ran this several
times and in different orders to make sure it was not some sort of hardware
issue.

If there is some sort of additional output that would be helpful, I can
provide as well. Or, if there is nothing I can do, that is fine also.

-Derek


On 11/6/06, Kasper Daniel Hansen <khansen at stat.berkeley.edu> wrote:
>
> 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             Øster 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
> >>
> >
> >       [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-devel at r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-devel
>
>
-------------- next part --------------


> ######
> ### R 2.4.0
> ######
> 
> rm(list=ls(all=TRUE))
> memory.limit(size=4095)
NULL
> 
> clnt=read.table(file="K:\\all_data_reduced_vars.dat",header=T,sep="\t")
> 
> chk.rsp=glm(formula = resp_chkonly ~ x1 + x2 + x3 + x4 +
+     x5 + x6 + x7 + x8 + x9 + x10 + x11 + x12 + x13 +
+     x14 + x15 + x16 + x17 + x18 + x19 +x20 +
+     x21 + x22 +x23 + x24 + x25 + x26 +x27 + 
+     x28 + x29 + x30 + x27*x29 + x28*x30, family = binomial, 
+     data = clnt)
Error: cannot allocate vector of size 167578 Kb
> 
> dim(clnt)
[1] 650000     32
> sum(clnt)
[1] 112671553493
> 

##################################################
##################################################

> ######
> ### R 2.3.0
> ######
> 
> rm(list=ls(all=TRUE))
> memory.limit(size=4095)
NULL
> 
> clnt=read.table(file="K:\\all_data_reduced_vars.dat",header=T,sep="\t")
> 
> chk.rsp=glm(formula = resp_chkonly ~ x1 + x2 + x3 + x4 +
+     x5 + x6 + x7 + x8 + x9 + x10 + x11 + x12 + x13 +
+     x14 + x15 + x16 + x17 + x18 + x19 +x20 +
+     x21 + x22 +x23 + x24 + x25 + x26 +x27 + 
+     x28 + x29 + x30 + x27*x29 + x28*x30, family = binomial, 
+     data = clnt)
> 
> dim(clnt)
[1] 650000     32
> sum(clnt)
[1] 112671553493
>