On Jun 22, 2010, at 4:57 AM, Jeff08 wrote:
Okay, it crosstab seems to work when I clear out a bunch of my
variables,
went from 800 mb Vcol to 100 mb
Can anyone explain how memory works in R, because my lack of
understanding
with memory was clearly the problem.
Making the assumption that you are on Windows, since you choose not to
mention your OS. The Windows FAQ would be the first place to start:
http://cran.r-project.org/bin/windows/base/rw-FAQ.html
In particular:
http://cran.r-project.org/bin/windows/base/rw-FAQ.html#There-seems-to-be-a-limit-on-the-memory-it-uses_0021
There also many discussions in the archives. I use this function
modified from some other person's code (but have forgotten the
author) to determine if I have memory allocation options. You could
modify the function to display more than just the largest ten objects:
function() {z <- sapply(ls(envir=globalenv()),
function(x) object.size(get(x)))
(tmp <- as.matrix(rev(sort(z))[1:10]))}
.... and then use rm() to delete the extraneous objects
--
David.
Jeff08 wrote:
##I have also tried the reshape package
library(reshape)
mm <- melt(df, id=c("date_", "id"))
mm1 <- cast(mm, date_~id)
aba <- mm1[,-1]
final <- as.matrix(aba)
colnames(final) <- df$id
rownames(final) <- mm1$date_
final
##Again it works perfectly here, but when I get to my real dataset,
I get
a "Cannot allocate vector of size 27.4 MB" error
It seems that the main problem is memory size. Is there an
efficient way
to do this?
snipped what now appears to be tangential material
David Winsemius, MD
West Hartford, CT
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