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Phylogenetic Comparative Methods in R

Liam J. Revell | Luke J. Harmon
€62.99
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A01=Liam J. Revell
A01=Luke J. Harmon
Addition
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Age Group_Uncategorized
Akaike information criterion
Allopatric speciation
Analysis of variance
Author_Liam J. Revell
Author_Luke J. Harmon
automatic-update
Bayesian
Biogeography
Biological data
Brownian motion
Category1=Non-Fiction
Category=PS
Category=PSAJ
Category=UFM
Cetacea
Clade
Cladogenesis
Coefficient
Colonization
Comparative biology
Comparative method (linguistics)
Computational phylogenetics
COP=United States
Correlation and dependence
Data set
Data structure
Delivery_Delivery within 10-20 working days
Derivative
Design matrix
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Estimation
Estimator
Euodice
Evolution
Exponential function
File format
Finding
Genus
Home range
Illustration
Implementation
Instance (computer science)
Language_English
Likelihood function
Likelihood-ratio test
Linear regression
Markov chain Monte Carlo
Maximum parsimony (phylogenetics)
Natural logarithm
Ornithology
P-value
PA=Available
Parameter
Paternalism
Phenotypic trait
Phylogenetic comparative methods
Phylogenetic diversity
Phylogenetic tree
Phylogenetics
Plumage
Posterior probability
Price_€20 to €50
Principal component analysis
Proportionality (mathematics)
PS=Active
R-Squared
Rate of evolution
Regression analysis
Result
Sampling fraction
Shrikebill
softlaunch
Speciation
Speciation (genetic algorithm)
Statistic
Statistical hypothesis testing
Statistics
Subroutine
Taxon
Threshold model
Trait theory
Tree (data structure)
Variable (mathematics)
Website

Product details

  • ISBN 9780691219035
  • Weight: 885g
  • Dimensions: 203 x 254mm
  • Publication Date: 06 Sep 2022
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
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Description

An authoritative introduction to the latest comparative methods in evolutionary biology

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.

  • Covers every major method of modern phylogenetic comparative analysis in R
  • Explains the basics of R and discusses topics such as trait evolution, diversification, trait-dependent diversification, biogeography, and visualization
  • Features a wealth of exercises and challenge problems
  • Serves as an invaluable resource for students and researchers, with applications in ecology, evolution, anthropology, disease transmission, conservation biology, and a host of other areas
  • Written by two of today’s leading developers of phylogenetic comparative methods
About Liam J. Revell | Luke J. Harmon
Liam J. Revell is associate professor of biology at the University of Massachusetts, Boston, and an adjunct researcher at the Universidad Católica de la Santísima Concepción in Chile. Luke J. Harmon is professor of biological sciences at the University of Idaho and the author of Phylogenetic Comparative Methods: Learning from Trees.

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