We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more
Cover

Applied Statistics with R

A Practical Guide for the Life Sciences

Justin C. Touchon

July 2021

ISBN: 9780198869337

336 pages
Paperback
240x168mm

In Stock

Price: £32.50

This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data.

Share:

Description

This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data.

  • Adopts an accessible and progressive approach to the statistical analysis of biological data using R
  • Emphasizes a 'data-first' perspective and utilizes a single, real-world dataset throughout the book
  • Provides readers with the knowledge of which analyses they should use and when they should use them
  • Assignments (and answers) allow readers to test and expand on their knowledge

About the Author(s)

Justin C. Touchon, Assistant Professor, Department of Biology, Vassar College, USA

Justin C. Touchon is Assistant Professor of Biology at the Department of Biology, Vassar College, New York, USA. His research focuses primarily on phenotypic plasticity, aiming to understand its causes and consequences. He also studies the evolution of terrestrial reproduction in a group of Central and South American treefrogs in the genus Dendropsophus. He has taught an annual statistics workshop at the Smithsonian Tropical Research Institute for over 10 years and has developed an effective approach upon which this book is based.

Table of Contents

    Preface
    1:Introduction to R
    2:Before You Begin (aka Thoughts on Proper Data Analysis)
    3:Exploratory Data Analysis and Data Summarization
    4:Introduction to Plotting
    5:Basic Statistical Analyses using R
    6:More Linear Models in R!
    7:Generalized Linear Models
    8:Mixed Effects Models
    9:Advanced Data Wrangling and Plotting
    10:Writing Loops and Functions in R
    11:Final Thoughts

Related Titles