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Cover

Getting Started with R

An Introduction for Biologists

Second Edition

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

February 2017

ISBN: 9780198787846

256 pages
Paperback
240x168mm

Price: £26.99

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 now in a new revised edition, incorporating the updates in the R environment, and also adding guidance on the use of more complex statistical analyses and tools.

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Description

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 now in a new revised edition, incorporating the updates in the R environment, and also adding guidance on the use of more complex statistical analyses and tools.

  • 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

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

About the Author(s)

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

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

Reviews

Review from previous edition The book would make the ideal text for a short course on data management and presentation - it truly packs an amazing amount of wisdom and wit between slim covers. - Trends in Ecology and Evolution

I was engaged by the refreshing style of the authors, that while informal, gives the user clear step-by-step instructions for using the software. Apart from the clear biological leaning of the example data, this book is applicable to anyone learning R (even a statistician!). - Significance

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