I want to employ non-parametric tests to check for correlations between experimentally determined Ki values and docking scores from docking experiments. I'm using the R correlation matrix-component to assess the spearman's rho- and kendall's tau-value, which uses the R-function cor(). The component works fine for me, but it doesn't reveal the corresponding p-values.
I konw it's possible to calculate the corresponding p-values for the Kendall and Spearman-test with R-function cor.test(), which is employed in the R Two-Variables Tests-Component. But it doesn't do a correlation matrix for several data series (and it can only handle the spearman rank correlation test, but not the kendall test). Does anyone know a workaround to modify the R correlation matrix-Component to show p-values?

Cheers,
sennes