The New Statistics with R: An Introduction for Biologists

Paperback | February 28, 2015

byAndy Hector

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Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologist's training. This accessible book provides a contemporary introduction to the classical techniques and modernextensions of linear model analysis: one of the most useful approaches in the analysis of scientific data in the life and environmental sciences. It emphasizes an estimation-based approach that accounts for recent criticisms of the over-use of probability values, and introduces alternativeapproaches using information criteria. Statistics are introduced through worked analyses performed in R, the free open source programming language for statistics and graphics, which is rapidly becoming the standard software in many areas of science and technology. These analyses use real data setsfrom ecology, evolutionary biology and environmental science, and the data sets and R scripts are available as support material. The book's structure and user friendly style stem from the author's 20 years of experience teaching statistics to life and environmental scientists at both theundergraduate and graduate levels.The New Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology.

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Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologist's training. This accessible book provides a contemporary introduction to the classical techniques and modernextensions of linear model analysis: one of the most...

Andy Hector is Professor of Ecology in the University of Oxford's Department of Plant Sciences. He currently convenes and teaches statistics on the Quantitative Methods for Biologists course for undergraduates. He is a community ecologist interested in biodiversity loss and its consequences for ecosystem functioning, stability and serv...
Format:PaperbackDimensions:224 pages, 9.45 × 6.61 × 0.39 inPublished:February 28, 2015Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198729065

ISBN - 13:9780198729068

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Table of Contents

1. Introduction2. Comparing Groups: Analysis of Variance3. Comparing Groups: Student's t test4. Linear Regression5. Comparisons using Estimates and Intervals6. Interactions7. Analysis of Covariance: ANCOVA8. Maximum Likelihood and Generalized Linear Models9. Generalized Linear Models for Data with Non-Normal Distributions10. Mixed Effects Models11. Generalized Linear Mixed-effects Models12. Final ThoughtsAppendix 1: A very short introduction to the R programming language for statistics and graphics