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
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-testing-corrections-on-very-large-vector-tp3341398p3341398.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
