cor.test versus rcorr

[Cathleen]

I haven't been able to find an answer to this question in any of my reference books: I want to look at multiple correlations, all one-tailed Pearson, excluding missing data pair-wise. I think I have to do a series of tests using the 'cor.test' function? Or is there a way to do them all in one go with the 'rcorr' function? Thanks in advance...

 

[Stefan Th. Gries]

Well, since you already mention Hmisc::rcorr, have you tried it before
posting? Because it works here ...

library(Hmisc)
x <- round(matrix(rnorm(1000), ncol=10), 3)
rcorr(x)

The p-values are two-tailed, though:

cor.test(x[,1], x[,2])

STG
--
Stefan Th. Gries
-----------------------------------------------
University of California, Santa Barbara
http://www.linguistics.ucsb.edu/faculty/stgries
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