# Correlate variables from 1 matrix with variables from another
# matrix. If TRIM, set rho<critical value(alpha) to NA. Computes
# this critical value as a t-test with n-2 df.
cor2m <- function(x, y, trim=TRUE, alpha=0.05) {
xz <- scale(as.matrix(x))
yz <- scale(as.matrix(y))
n <- dim(x)[[1]]
cc <- t(yz) %*% xz / (n -1.0)
rownames(cc) <- colnames(y)
colnames(cc) <- colnames(x)
if (trim) {
rt <- cc * sqrt((n-2)/(1-cc^2))
cv <- qt(1-alpha, n-2)
cc[abs(rt) < cv] <- NA
}
data.frame(t(cc))
}
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