Dear Dren,
How about the following?
cor.pvalues <- function(X){
nc <- ncol(X)
res <- matrix(0, nc, nc)
for (i in 2:nc){
for (j in 1:(i - 1)){
res[i, j] <- res[j, i] <- cor.test(X[,i], X[,j])$p.value
}
}
res
}
What one then does with all of those non-independent test is another
question, I guess.
I hope this helps,
John
--------------------------------
John Fox
Department of Sociology
McMaster University
Hamilton, Ontario
Canada L8S 4M4
905-525-9140x23604
http://socserv.mcmaster.ca/jfox
--------------------------------
> -----Original Message-----
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Dren Scott
> Sent: Friday, April 15, 2005 4:33 PM
> To: [email protected]
> Subject: [R] Pearson corelation and p-value for matrix
>
> Hi,
>
> I was trying to evaluate the pearson correlation and the
> p-values for an nxm matrix, where each row represents a
> vector. One way to do it would be to iterate through each
> row, and find its correlation value( and the p-value) with
> respect to the other rows. Is there some function by which I
> can use the matrix as input? Ideally, the output would be an
> nxn matrix, containing the p-values between the respective vectors.
>
> I have tried cor.test for the iterations, but couldn't find a
> function that would take the matrix as input.
>
> Thanks for the help.
>
> Dren
>
>
>
>
> ---------------------------------
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [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
