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Analysis of Phylogenetics and Evolution with R (Use R!)

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The study of the evolution of life on Earth stands as one of the most complex fields in science. It involves observations from very different sources, and has implications far beyond the domain of basic science. It is concerned with processes occurring on very long time spans, and we now know that it is also important for our daily lives as shown by the rapid evolution of many pathogens.

As a field ecologist, for a long time I was remotely interested in phylogenetics and other approaches to evolution. Most of the work I accomplished during my doctoral studies involved field studies of small mammals and estimation of demographic parameters. Things changed in 1996 when my interest was attracted by the question of the effect of demographic parameters on bird diversification. This was a new issue for me, so I searched for relevant data analysis methods, but I failed to find exactly what I needed. I started to conduct my own research on this problem to propose some, at least partial, solutions. This work made me realize that this kind of research critically depends on the available software, and it was clear to me that what was offered to phylogeneticists at this time was inappropriate.
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Global Networking, Communication and Culture: Conflict or Convergence?: Spread of ICT, Internet Governance, Superorganism Humanity and Global Culture (Studies in Systems, Decision and Control)
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

Topics in this volume include: evolutionary constraints,...

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