On Mon, 5 Jul 2010, Daniel Wiesmann wrote:
Dear All
I am trying to fit a multinomial logistic regression to a data set with
a size of 94279 by 14 entries. The data frame has one "sample" column
which is the categorical variable, and the number of different
categories is 9. The size of the data set (as a csv file) is less than
10 MB.
First, do
str( your.data.frame )
so we can be sure that you do not have a factor lurking among your
regressors.
Then report the calls you used for vglm() and mlogit().
It might not hurt to construct the model.matrix() first and check on it
with object.size()
Also try
for (i in levels(your.data.frame$sample)){
print(
glm(I(sample==i) ~. , your.data.,frame, family=binomial)
)}
just to check on your data. If that loop fails all bets are off.
HTH,
Chuck
I tried to fit a multinomial logistic regression, either using vglm()
from the VGAM package or mlogit() from the mlogit package.
In both cases the estimation crashes because I do not have enough
memory, although the free memory before starting the regression is more
than 2GB. The regression functions eat up all of my memory.
Does anyone know why this relatively small data set leads to memory
problems, and how I could work around my problem?
thank you for your help,
Daniel
______________________________________________
R-help@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.
Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:cbe...@tajo.ucsd.edu UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/ La Jolla, San Diego 92093-0901
______________________________________________
R-help@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.
