A brief introduction to phylogenetics in R -- Phylogenetically independent contrasts -- Phylogenetic generalized least squares -- Modeling continuous character evolution on a phylogeny -- Multi-rate, multi-regime, and multivariate models for continuous traits -- Modeling discrete character evolution on a phylogeny -- Other models of discrete character evolution -- Reconstructing ancestral states -- Analysis of diversification with phytogenies -- Time- and density-dependent diversification -- Character-dependent diversification -- Biogeography and phylogenetic community ecology -- Plotting phylogenies and comparative data.

"Phylogenetic comparative methods are a suite of statistical approaches that enable biologists to analyze and better understand the evolutionary tree of life, and shed vital new light on patterns of divergence and common ancestry among all species on Earth. This textbook shows how to carry out phylogenetic comparative analyses in the R statistical computing environment. Liam Revell and Luke Harmon provide an incisive conceptual overview of each method along with worked examples using real data and challenge problems that encourage students to learn by doing. By working through this book, students will gain a solid foundation in these methods and develop the skills they need to interpret patterns in the tree of life."--Cover.