Michael wrote:
I have to use logistic regression...
Good. That's what lrm is dedicated to.
Frank
On Sun, Jun 14, 2009 at 8:04 PM, Frank E Harrell
Jr<f.harr...@vanderbilt.edu> wrote:
Also it would be useful to compare glm with the lrm function in the Design
package, for speed and memory use.
Frank
David Winsemius wrote:
On Jun 14, 2009, at 9:06 PM, Michael wrote:
Hi all,
I am getting the following error message:
mymodel = glm(response ~ . , family=binomial, data=C);
Error: cannot allocate vector of size 734.2 Mb
In addition: Warning messages:
1: In array(0, c(n, n), list(levs, levs)) :
Reached total allocation of 1535Mb: see help(memory.size)
2: In array(0, c(n, n), list(levs, levs)) :
Reached total allocation of 1535Mb: see help(memory.size)
3: In array(0, c(n, n), list(levs, levs)) :
Reached total allocation of 1535Mb: see help(memory.size)
4: In array(0, c(n, n), list(levs, levs)) :
Reached total allocation of 1535Mb: see help(memory.size)
-----------
The data frame is 60000 x 20,
is it too large for R?
What shall I do? Will close all other softwares/applications help? My
PC is Vista with 4GB memory. Thank you.
It's certainly not too large for R. Have you looked at the R Windows FAQ
on the topic?
http://cran.r-project.org/bin/windows/base/rw-FAQ.html#There-seems-to-be-a-limit-on-the-memory-it-uses_0021
... and perhaps:
http://finzi.psych.upenn.edu/Rhelp08/2008-August/171649.html
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.