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...rep ( 1 : 36 , by = 4 ), dim = c ( 12 , 3 , 4 )) #Load 'geomorph' package and superimpose coordinates test.gpa <- gpagen ( A , print.progress = FALSE ) #Load 'paleomorph' and generate covariance and correlation matrices cvmatrix <- dotcvm ( test.gpa $ coords ) corrmatrix <- dotcorr ( test.gpa $ coords ) Then I do a clustering with Ward method and euclidean distance, using the cvmatrix and I get a dendrogram. This part is not the problem, so I'll go directly to what I want. I would like to calculate the mean correlation between the elements of each cluster. Since cluste...