Michael wrote:
Yet what's the benefit of using Design Package?
Thanks!
For logistic models the code is streamlined. You get automatic tests of
most interesting hypotheses (e.g., tests of linearity) and easy to make
graphics including nomograms. There's also several model validation
functions. LaTeX and other methods can print fitted models in an easier
to interpret fashion when restricted cubic splines and interactions are
present. Getting odds ratios for sensible changes of X, when X is
nonlinear, is easy.
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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