Ecological models and data in R

Ecological Models and Data in Ris the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics.Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language RStep-by-step instructions for fitting models to messy, real-world dataBalanced view of different statistical approachesWide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling)Techniques for data manipulation and graphical displayCompanion Web site with data and R code for all examples. © 2008 by Princeton University Press. All Rights Reserved.