[R] Multiple testing corrections on very large vector

[terdon]

Hello all, 
      I am calculating probabilities of association for terms in the
GeneOntology database. I have ~4e7 probabilities and I would like to correct
for multiple testing. At the moment I have something like the following:

pv is a vector containing my 4e7 probabilities.

To run the multiple testing corrections I do:

mt <- mt.rawp2adjp(pv, proc="BH")

Because of the size of the vector this takes a VERY long time and a LOT of
memory. I cannot split the job into smaller ones since all values in the
vector are required for the calculation.

Can anyone think of a trick that would allow me to reduce the memory usage
of this procedure? Or t least make it faster?

Thanks 

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