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2005 Nov 18
2
(no subject)
Hi,
I need to run a Fisher's exact test on thousands of 2x2 contingency tables, and
repeat this process several thousand times (this is a part of the permutation
test for a genome-wide association study).
How can I run this process most efficiently? Is there any way to optimize R code?
I have my data in a 2x2xN array (N ~ 5 K; eventually N will be ~ 500 K), and use
apply inside the loop: