cor vs cor.test
A while ago I posted a function that computes p-values for a correlation matrix, by adapting code in cor.test(). Search the archive for it. Also see rcorr() in the Hmisc package. That might do what you want. Andy
From: Suresh Krishna
From:
?cor.test
Arguments:
x, y: numeric vectors of data values. 'x' and 'y' must have the
same length.
-s.
Michael Grant wrote:
Using Windows System, R 2.1.0 d is a data frame, 48 rows, 10 columns cor(d) works properly providing all pairwise Pearson correlation coefficients among columns cor.test(d) gives error message "Error in
cor.test.default(d) : argument
"y" is missing, with no default" Why? Thanks, MCG
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