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

Getting Started with R

An Introduction for Biologists

Second Edition

Andrew P. Beckerman, Dylan Z. Childs, and Owen L. Petchey

Publication Date - March 2017

ISBN: 9780198787846

240 pages
Paperback
9.5 x 6.6 inches

Retail Price to Students: $38.95

The second edition of a popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers.

Description

R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their research. It teaches readers how to import, explore, graph, and analyse data, while keeping them focused on their ultimate goals: clearly communicating their data in oral presentations, posters, papers, and reports. It provides a consistent workflow for using R that is simple, efficient, reliable, and reproducible.

This second edition has been updated and expanded while retaining the concise and engaging nature of its predecessor, offering an accessible and fun introduction to the packages dplyr and ggplot2 for data manipulation and graphing. It expands the set of basic statistics considered in the first edition to include new examples of a simple regression, a one-way and a two-way ANOVA. Finally, it introduces a new chapter on the generalised linear model.

Getting Started with R is suitable for undergraduates, graduate students, professional researchers, and practitioners in the biological sciences.

New to this Edition

  • Second edition now includes introductions to dplyr and ggplot for data manipulation and graphics
  • Second edition includes more basic statistics and a new chapter on the generalised linear model

Features

  • A simple, easy, and engaging introduction to R for biologists
  • Walks readers through the fundamentals of using R to import, manage and explore data, produce figures, and do basic statistics
  • Designed for biologists new to R, who want an easy boost up the initially steep learning curve
  • Focuses on producing tables and graphs that can be used in poster and oral presentations, and to put in manuscripts and theses
  • Presents a template for annotated, efficient, reliable, and reproducible data analysis using R
  • Incorporates a range of biological examples
  • Second edition now includes introductions to dplyr and ggplot for data manipulation and graphics
  • Second edition includes more basic statistics and a new chapter on the generalised linear model

About the Author(s)

Andrew Beckerman, Department of Animal and Plant Science, University of Sheffield,Owen Petchey, Department of Evolutionary Biology and Environmental Studies, University of Zurich,Dylan Childs, Department of Animal and Plant Science, University of Sheffield

Andrew leads a research team studying community and evolutionary ecology. He has been using R and teaching quantitative methods for over 16 years.

Owen leads a research team studying ecological forecasting. He has been using R and teaching quantitative methods for over 16 years.

Dylan leads a research team studying population biology. He has been using R and teaching quantitative methods for over 15 years.

Table of Contents

    Preface
    1. Getting and getting acquainted with R
    2. Getting your data into R
    3. Data management, manipulation, and exploration with dplyr
    4. Visualising your data
    5. Introducing statistics in R
    6. Advancing your statistics in R
    7. Getting started with generalised linear models
    8. Pimping your plots: scales and themes in ggplot2
    9. Closing remarks
    Appendices

Related Titles