Dear Prof. Ripley,
Many thanks for your reply, especially during the holiday season!
From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
You seem to believe a multinomial logistic regression is a GLM: it is
not.
With one line, you've struck the heart of one of my problems.
As a follow-up
I would like to perform a multinomial logistic regression on a large
data set, but do not know how. I've only thought of a few possibilities
and write to seek advice and guidance on them or deepening or expanding
my search.
On smaller data sets, I have successfully loaded the data and issued
OK, well, seeing Thomas Lumley's post earlier today, I figured out the
answer to #4:
gc()
used (Mb) gc trigger (Mb) max used (Mb)
Ncells 1115191 29.83469679 92.7 13981968 373.4
Vcells 14796791 112.9 79783730 608.8 124640525 951.0
c - rnorm(1e9)
Error in rnorm(1e+09) :
Here is the direct way:
.Machine$sizeof.pointer
[1] 8
on a 64-bit system. You can also figure it out from the size of the
Ncells, clearly 28 bytes in your example.
You seem to believe a multinomial logistic regression is a GLM: it is not.
On Thu, 21 Dec 2006, Yeh, Richard C wrote:
OK,
