[R] applying cor.test to a (m, n) matrix

[Dimitris Rizopoulos]

have a look also at function rcor.test() from package ltm.

Best,
Dimitris

----
Dimitris Rizopoulos
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "Monica Pisica" <pisicandru at hotmail.com>
To: <r-help at r-project.org>
Sent: Thursday, May 08, 2008 9:05 PM
Subject: [R] applying cor.test to a (m, n) matrix


>
> Hi everybody,
>
> I would like to apply cor.test to a matrix with m rows and n columns 
> and get the results in a list of matrices , one matrix for p.val, 
> one for the statistic, one for the correlation and 2 for upper and 
> lower confidence intervals, something analog with cor() applied to a 
> matrix.
>
> I have done my own function to get a matrix of p.values and i 
> suppose i can build similar functions for all the others. But i have 
> used for loops and i wonder if there is any way to actually use one 
> of the functions from the "apply" family to do this in a quicker 
> way.
>
> Here is my little function:
>
> cor.pval <- function(x, method = c("pearson", "kendal", "spearman"), 
> digit=8) {
> n <- dim(x)[2]
> pval <- matrix(paste(rep("c", n*n), seq(1,n*n), sep = ""), n, n, 
> byrow = T)
> for (i in 1:n) {
> for (j in 1:n){
> pval[i, j] <- cor.test(x[,i], x[,j], method = method)$p.value
>                                  }
>                   }
> pval <- matrix(round(as.numeric(pval),digit), n, n, byrow = T)
> rownames(pval) <- colnames(x)
> colnames(pval) <- colnames(x)
> return(pval)
> }
>
> Thanks for any input,
>
> Monica
>
>
>
>
>
>
>
> _________________________________________________________________
>
>
> esh_messenger_052008
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