Steven, sorry for the delay in responding,
I have been investigating this also and here is the way I do it (though
probably not the best way):
# .. define a 3D array
ngen = 904
gratios - ff(NA, dim=rep(ngen,3), vmode=double)
# .. fill the array with standard R functions
ffsave (gratios,
Thanks,
That helped. Maybe when I get a chance I will do some blog posts on the
basics of ff
I think some tutorials would be a good idea
Steve
On Mon, Feb 27, 2012 at 3:47 AM, Djordje Bajic je.li@gmail.com wrote:
Steven, sorry for the delay in responding,
I have been investigating
Did you have to use a particular filename? or extension.
I created a similar file but then could not read it back in
Steve
On Mon, Feb 13, 2012 at 6:45 AM, Djordje Bajic je.li@gmail.com wrote:
I've been investigating and I partially respond myself. I tried the
packages 'bigmemory' and
I've been investigating and I partially respond myself. I tried the
packages 'bigmemory' and 'ff' and for me the latter did the work I need
pretty straightforward. I create the array in filebacked form with the
function ff, and it seems that the usual R indexing works well. I have yet
to see the
On 12-02-10 9:12 AM, Djordje Bajic wrote:
Hi all,
I am trying to fill a 904x904x904 array, but at some point of the loop R
states that the 5.5Gb sized vector is too big to allocate. I have looked at
packages such as bigmemory, but I need help to decide which is the best
way to store such an
Hi all,
I am trying to fill a 904x904x904 array, but at some point of the loop R
states that the 5.5Gb sized vector is too big to allocate. I have looked at
packages such as bigmemory, but I need help to decide which is the best
way to store such an object. It would be perfect to store it in this
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