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 > > > > ______________________________________________ > > [email protected] mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > > > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
