interesting request..I'm looking forward to the replies
All I could come up with is putting it in two lines..
pr<-array(0,c(dim(x)[2],dim(x)[2]));
for (i in 1:dim(x)[2]) for (j in 1:dim(x)[2])
pr[i,j]<-cor.test(x[,i],x[,j])$p.val;
y
Monica Pisica wrote:
>
>
> Hi everybody,
>
> I would like to apply cor.test to a matrix with m rows and n columns and
> get the results in a list of matrices , one matrix for p.val, one for the
> statistic, one for the correlation and 2 for upper and lower confidence
> intervals, something analog with cor() applied to a matrix.
>
> I have done my own function to get a matrix of p.values and i suppose i
> can build similar functions for all the others. But i have used for loops
> and i wonder if there is any way to actually use one of the functions from
> the "apply" family to do this in a quicker way.
>
> Here is my little function:
>
> cor.pval <- function(x, method = c("pearson", "kendal", "spearman"),
> digit=8) {
> n <- dim(x)[2]
> pval <- matrix(paste(rep("c", n*n), seq(1,n*n), sep = ""), n, n, byrow =
> T)
> for (i in 1:n) {
> for (j in 1:n){
> pval[i, j] <- cor.test(x[,i], x[,j], method = method)$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
> ______________________________________________
> 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.
>
>
-----
Yasir H. Kaheil
Catchment Research Facility
The University of Western Ontario
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