Hi,
Does anyone have any advice on speeding up R functions (short of re-implementing them
in C :-) )?
I have a function that applies a wilcoxon test to 12 sets of about a quarter of a
million pairs (and takes about 3 hours). I've replaced the inner loop I had originally
with a function call via mapply, and also considered different approximations of the
wilcoxon, rather than that which is implemented in wilcox.test, but that makes little
difference 9and if anything slows things down :-).
Cheers,
Crispin
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