Have a look at function rcor.test() from package ltm, e.g.,
library(ltm)
mat - matrix(rnorm(1000), 100, 10, dimnames = list(NULL, LETTERS[1:10]))
rcor.test(mat)
rcor.test(mat, method = kendall)
rcor.test(mat, method = spearman)
I hope it helps.
Best,
Dimitris
Hello,
I have a data frame containing several parameters. I want to investigate
pair wise correlations between all of the parameters. For doing so I used
the command cor(data.frame, method=âspearmanâ), the result is a matrix
giving me the correlation coefficients of each pair, but not the p-values.
Is it possible to get same matrix showing just the p-values instead of the
correlation coefficients? As far as I know the command cor.test just works
for two given vector, but not for a whole data frame.
Thanks!
-
Tamara Hoebinger
University of Vienna
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Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center
Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
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