1) See ?"Memory-limits": it is almost certainly memory fragmentation.
You don't need to give the memory back to the OS (and few OSes actually do
so).
2) I've never seen this running a 64-bit version of R.
3) You can easily write a script to do this. Indeed, you could write an R
script to run m
On 4 February 2008 at 20:45, Doran, Harold wrote:
| I have a program which reads in a very large data set, performs some
analyses, and then repeats this process with another data set. As soon as the
first set of analyses are complete, I remove the very large object and clean up
to try and make
I have a program which reads in a very large data set, performs some analyses,
and then repeats this process with another data set. As soon as the first set
of analyses are complete, I remove the very large object and clean up to try
and make memory available in order to run the second set of an
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