multicore package: collecting results

Hi all,

I'm using mclapply() of the multicore package for processing chunks
of data in parallel --and it works great.

But when I want to collect all processed elements of the returned
list into one big data frame it takes ages.

The elements are all data frames having identical column names, and
I'm using a simple rbind() inside a loop to do that. But I guess it
makes some expensive checking computations at each iteration as it
gets slower and slower as it goes. Writing out to disk individual
files, concatenating with the system and reading back from disk the
resulting file is actually faster...

Is there a magic argument to rbind() that I'm missing, or is there
any other solution to collect the results of parallel processing
efficiently?

Thanks, Vincent