Getting Started with R | An Introduction for Biologists

Andrew P Beckerman (u. a.)

ISBN 10: 0198787847 / ISBN 13: 9780198787846

Published by Oxford University Press, 2017

About this Item

Getting Started with R | An Introduction for Biologists | Andrew P Beckerman (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Oxford University Press | EAN 9780198787846 | Verantwortliche Person für die EU: Deutsche Bibelgesellschaft, Postfach:81 03 40, 70567 Stuttgart, vertrieb[at]dbg[dot]de | Anbieter: preigu.

Seller Inventory # 108343037

Bibliographic Details

• Title: Getting Started with R | An Introduction for Biologists
• Publisher: Oxford University Press
• Publication Date: 2017
• Language: English
• ISBN 10: 0198787847
• ISBN 13: 9780198787846
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 238W x 167H x 17D millimeters 238 millimeters width by 167 millimeters height by 17 millimeters depth
• Weight: 493 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.