Returns a graphical or numerical correlational matrix of p-values for the interpopulation degree of sexual dimorphism as measured by Greene t-test
Tibble/data frame containing summary statistics, Default: NULL
Number of the column containing populations' names, Default: 1
Logical; if TRUE graphical matrix of p-values, Default: TRUE
a character string specifying the alternative hypothesis, must be one of "two.sided", "greater" or "less", Default: 'two.sided'
Method of p.value adjustment for multiple comparisons following p.adjust.methods, Default: 'none'
Graphical or numerical matrix of p-values from Greene t-test pairwise comparisons. N.B: contrary to the usual corrplots where higher values indicate stronger correlation, here lower values indicate significance
Data is entered as a tibble/data frame of summary statistics where the column containing population names is chosen by position (first by default), other columns of summary data should have specific names (case sensitive) similar to baboon.parms_df