Data from: A phylogenetic comparative method for evaluating trait coevolution across two phylogenies for sets of interacting species

Evaluating trait correlations across species within a lineage via
phylogenetic regression is fundamental to comparative evolutionary
biology, but when traits of interest are derived from two sets of lineages
that co-evolve with one another, methods for evaluating such patterns in a
dual-phylogenetic context remain underdeveloped. Here we extend
multivariate permutation-based phylogenetic regression to evaluate trait
correlations in two sets of interacting species while accounting for their
respective phylogenies. This extension is appropriate for both univariate
and multivariate response data, and may utilize one or more independent
variables, including environmental covariates. Imperfect correspondence
between species in the interacting lineages can also be accommodated, such
as when species in one lineage associate with multiple species in the
other, or when there are unmatched taxa in one or both lineages. For both
univariate and multivariate data, the method displays appropriate type I
error, and statistical power increases with the strength of the trait
covariation and the number of species in the phylogeny. These properties
are retained even when there is not a 1:1 correspondence between lineages.
Finally, we demonstrate the approach by evaluating the evolutionary
correlation between traits in fig species and traits in their agaonid wasp
pollinators. R computer code is provided.