Hi Steve and other R folks,
Thanks for the suggestion. No - that doesn't work. I meant to put that
into my original email. To recap
x -
big.matrix(nrow=2,ncol=50,type='short',init=0,dimnames=list(1:2,1:50))
#Gets around the 2^31 issue - yay!
#R takes 18 Gb RAM, so says top
Hi Matt,
what's your sessionInfo()? Can you try installing bigmemory as follows:
install.packages(bigmemory, repos=http://R-Forge.R-project.org;)
it'll get you the latest version, in which I cannot reproduce the
problem you're reporting (ie, after gc(), I get all the RAM back)
b
On Sat, Feb
See inline for responses. But people are always welcome to contact
us directly.
Hi all,
I'm on a Linux server with 48Gb RAM. I did the following:
x -
big.matrix(nrow=2,ncol=50,type='short',init=0,dimnames=list(1:2,1:50))
#Gets around the 2^31 issue - yeah!
We strongly
Hi Jay and Benilton,
Thank you both for your help. When I do not use the dimnames argument,
everything works fine:
x - big.matrix(nrow=2e4,ncol=5e5,type='short',init=0) #18 Gb RAM used
rm(x) #18 Gb RAM used
gc() #no RAM used
However, when I use dimnames, I get this problem, reproducibly:
x -
Hi all,
I'm on a Linux server with 48Gb RAM. I did the following:
x -
big.matrix(nrow=2,ncol=50,type='short',init=0,dimnames=list(1:2,1:50))
#Gets around the 2^31 issue - yeah!
in Unix, when I hit the top command, I see R is taking up about 18Gb
RAM, even though the object x is
Hi,
On Fri, Feb 5, 2010 at 9:24 PM, Matthew Keller mckellerc...@gmail.com wrote:
Hi all,
I'm on a Linux server with 48Gb RAM. I did the following:
x -
big.matrix(nrow=2,ncol=50,type='short',init=0,dimnames=list(1:2,1:50))
#Gets around the 2^31 issue - yeah!
in Unix, when
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