Hi Frank,
I don't think it is possible to state a general rule about which will
be faster. For example this
system.time({
for(i in 1:10000) {
x <- matrix(rnorm(10), ncol = 10)
y <- mean(x)
#rm(x)
z <- matrix(runif(10), ncol = 100)
#rm(z)
}
})
gets a lot slower if I uncomment the "rm()" lines, but this
system.time({
for(i in 1:5) {
x <- matrix(rnorm(10000000), ncol = 10)
y <- mean(x)
rm(x)
z <- matrix(runif(10000000), ncol = 100)
rm(z)
}
})
is slightly faster than it would be without the rm() lines. I think
you'll have to run a smaller version of the simulation both ways and
see which is faster.
Best,
Ista
On Tue, Jun 3, 2014 at 10:05 AM, Frank van Berkum
<frankieboy...@hotmail.com> wrote:
> Dear R-users,
>
> I'm working on a project in which many simulations have to be performed
> within functions. The simulations are quite time consuming. I thought that in
> general an empty memory is better for speed performance than a full memory.
>
> If I call a function which performs simulations within the function, than the
> memory will temporarily increase (while the function is executed and objects
> are created within the function), but as soon as the function is finished,
> temporarily objects are flushed. It seems as if it might be beneficial for
> speed performance to clear objects from the memory within the function if
> they are no longer needed in the remainder of the function. Does anyone know
> whether this is actually the case?
>
> Thanks in advance!
>
> Frank
> [[alternative HTML version deleted]]
>
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