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Cover

The New Statistics with R

An Introduction for Biologists

Andy Hector

January 2015

ISBN: 9780198729068

224 pages
Paperback
240x168mm

In Stock

Price: £34.99

An introductory level text covering linear, generalized linear, linear mixed-effects, and generalized mixed models implemented in R and set within a contemporary framework.

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Description

An introductory level text covering linear, generalized linear, linear mixed-effects, and generalized mixed models implemented in R and set within a contemporary framework.

  • An introductory level text covering linear, generalized linear, linear mixed-effects, and generalized mixed models implemented in R and set within a contemporary framework
  • Adopts an estimation based approach
  • Includes fully annotated output and state-of-the-art graphics
  • Supporting presentations and other materials (including data files and R scripts) will be made available on the web
  • Based on a successful teaching course

About the Author(s)

Andy Hector, Professor of Ecology, Department of Plant Sciences, University of Oxford

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 services and scientific PI of the Sabah Biodiversity Experiment. He has contributed to several publications on ecological analysis.

Table of Contents

    1: Introduction
    2: Comparing Groups: Analysis of Variance
    3: Comparing Groups: Student's t test
    4: Linear Regression
    5: Comparisons using Estimates and Intervals
    6: Interactions
    7: Analysis of Covariance: ANCOVA
    8: Maximum Likelihood and Generalized Linear Models
    9: Generalized Linear Models for Data with Non-Normal Distributions
    10: Mixed Effects Models
    11: Generalized Linear Mixed-effects Models
    12: Final Thoughts
    Appendix 1: A very short introduction to the R programming language for statistics and graphics

Reviews

"The book is suitable for undergraduate and graduate students, researchers and practitioners in biological sciences. I found it refreshing and worthy of wide use." - Basil Jarvis, The Biologist

"[T]his book is of great interest ... it is important to evaluate its value as a teaching tool for R for biologists. ... [T]he book's strength is that it takes an applied scientist through the necessary basic statistics, and shows step by step how to work with real data. The New Statistics with R is, furthermore, a great textbook for computer exercise sessions in any introductory statistical class (especially for the life sciences). With its help, one should be able to design a very attractive course for both applied and more theoretical students." - Krzysztof Bartoszek, Systematic Biology

"... overall the book gives useful, ecumenical, and reliable statistical advice. I would recommend it for courses that are trying to equip students who already know elementary statistics with the basic tools they need to understand and perform analyses of real, messy data." - Ben Bolker, Quarterly Review of Biology