How can I compute the pearson correlation p-values for all combinations of
columns of 2 matrices ?
> m <- matrix(rnorm(20), nrow=4, dimnames=list(LETTERS[1:4], letters[1:5]))
> m1 <- matrix(rnorm(20), nrow=4, dimnames=list(LETTERS[1:4], letters[1:5]))
> cor(m,m1)
a b c d e
a -0.67533294 -0.2516151 -0.3780815 0.55816011 -0.16526501
b 0.41729336 0.1078082 0.6671405 -0.81381931 -0.20240428
c -0.01058068 -0.5069489 0.7723080 -0.79558376 -0.32441411
d 0.98691269 0.8147252 -0.2853724 0.05879335 0.63893235
e 0.59140305 0.6746471 0.2835064 -0.47762034 -0.06372043
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