Hi Adrian,
Using cor.test you need either two variables or a formula as stated in
?cor.test  :-)

Take a look at

http://www.nabble.com/Re:-applying-cor.test-to-a-(m,-n)-matrix---SUMMARY-to17150239.html#a17150239

for different alternatives to do what you asked for.

HTH,

Jorge


On Fri, Jul 10, 2009 at 4:25 PM, Adrian Johnson
<oriolebaltimore@gmail.com>wrote:

> Thank you Jorge.
>
> I tried it, i have the following error. honestly I dont understand the
> error. could you help please.
> thank you.
>
> > cor.test(t(longley),method='pearson')
> Error in cor.test.default(t(longley), method = "pearson") :
>  element 1 is empty;
>   the part of the args list of 'length' being evaluated was:
>   (y)
>
>
>
>
>
> On Fri, Jul 10, 2009 at 4:22 PM, Jorge Ivan
> Velez<jorgeivanvelez@gmail.com> wrote:
> > Dear Adrian,
> > See ?cor.test.
> > HTH,
> >
> > Jorge
> >
> >
> > On Fri, Jul 10, 2009 at 4:13 PM, Adrian Johnson <
> oriolebaltimore@gmail.com>
> > wrote:
> >>
> >> Hi I have a matrix with samples on columns and variables and their
> >> values on rows.
> >> I want to calculate correlation (pearson) between a variable and
> >> others in rows and obtain t-scores for the variables.
> >> how can i do it.
> >> thank you.
> >> Ad
> >>
> >> ______________________________________________
> >> R-help@r-project.org mailing list
> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guide
> >> http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> >
> >
>

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