read.table('temp.txt', check.names = FALSE)
would be easier (and more general, since make.names can do more than
prepend an 'X').
On Wed, 18 Jul 2007, Moshe Olshansky wrote:
Hi Suzanne,
My solution (which I am sure is not the best) would
be:
heat - read.table('temp.txt')
heat
Thanks for replying!
i don't think i'm paging. i tried to use a smaller version of my matrix and
do all the checkings as suggested by jim. The smaller matrix caused another
problem, for which I've opened another thread. But i've found something
about memory that I don't understand.
gc()
I was right saying that my solution was not the best
possible!
--- Prof Brian Ripley [EMAIL PROTECTED] wrote:
read.table('temp.txt', check.names = FALSE)
would be easier (and more general, since make.names
can do more than
prepend an 'X').
On Wed, 18 Jul 2007, Moshe Olshansky wrote:
Hi netters,
I have a matrix X of the size (1000,100). The values are from -3 to +3.
When I tried
heatmap(X,
distfun=function(c),dist(c,method=bin),hclustfun=function(m),hclust(m,method=average))
I got the error message:
Error: evaluation nested too deeply: infinite recursion /
The output from gc() indicates that you had a maximum usage of
476MB+119MB=~600MB. If you look at the output of ps you will notice
that the process size is 523MB (or about 500MB if you want to be
exact). So you are using about 25% of the 2GB that you have
available.
mem.limit just shows the
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