Data from: Comparing G: multivariate analysis of genetic variation in multiple populations

J. D. Aguirre, Emma Hine, Katrina McGuigan & Mark W. Blows
The additive genetic variance–covariance matrix (G) summarizes the multivariate genetic relationships among a set of traits. The geometry of G describes the distribution of multivariate genetic variance, and generates genetic constraints that bias the direction of evolution. Determining if and how the multivariate genetic variance evolves has been limited by a number of analytical challenges in comparing G-matrices. Current methods for the comparison of G typically share several drawbacks: metrics that lack a direct relationship...
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