cor_pmat produces values when cells in correlation matrix are NA

[elizabethwe]

Hi,

I've used this many times over the years (love it, thank you) and I currently have a couple variables that don't have observations when they overlap in my data. When I run cor() those cells are NA (as they should be), but then once I use the output of that for cor_pmat(), it produces p-values that are close to 0 (but not quite), when really they should also be NA. This becomes more of a problem when I try to run ggcorrplot and the number of values in the p-matrix exceeds the number of values in the correlation-matrix. Is there an argument to ignore cases when the correlation coefficient is NA?

Thank you!