What's the easiest way to run permutation tests for a bivariate Pearson correlation matrix in R?
I have tried running MPT.Corr, Multivariate Permutation Test for Correlations by Urbano Blackford et al., but I am not sure this function is applicable to the problem.
The data contains mainly Likert scale items and time measures. At least one nominal variable needs to be entered as a covariate - i.e. controlled for.