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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