Henrik, thanks for your reply. I might have misrepresented a bit my actual
code . It seems that you are suggesting doing rm() on objects i don't use.
In the real code which behavior i
reported it is exactly what is being done, i.e i use rm(). I also use a
small wrapper around load that lets me as
Leaving aside what's going on inside abind::abind(), maybe the
following sheds some light on what's is being wasted:
# Preallocate (probably doesn't make a difference because it's a list)
mat.data <- vector("list", length=length(files));
for (j in 1:length(files)){
vars <- load(file.path(dump
You are quite right that my exec time would seriously go down if i
pre-allocate and not even use abind, just assign into the preallocated
matrix. The reason i didn't do it here is that this is a part of some
utility function that doesn't know the sizes of chunks that are on disk
untill it reads all
On Apr 12, 2012, at 00:53 , andre zege wrote:
> I recently started using R 2.14.0 on a new machine and i am experiencing
> what seems like unusually greedy memory use. It happens all the time, but
> to give a specific example, let's say i run the following code
>
>
>
> for(j in 1:leng
I recently started using R 2.14.0 on a new machine and i am experiencing
what seems like unusually greedy memory use. It happens all the time, but
to give a specific example, let's say i run the following code
for(j in 1:length(files)){
load(file.path(dump.dir, files[j]))
ma
