Books  Data Analysis & Modelling  R (Programming Language) 

Getting Started with R: An Introduction for Biologists

Handbook / ManualNew Edition
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

By: Andrew P Beckerman (Author), Owen L Petchey (Author), Dylan Z Childs (Author)

256 pages, colour & b/w illustrations

Oxford University Press

Paperback | Jan 2017 | Edition: 2 | #232193 | ISBN-13: 9780198787846
Available for pre-order: Due Jan 2017 Details
NHBS Price: £22.50 $28/€27 approx
Paperback | May 2012 | Edition: 1 | #194874 | ISBN-13: 9780199601622
Availability: Usually dispatched within 5 days Details
NHBS Price: £21.99 $28/€26 approx
Hardback | Jan 2017 | Edition: 2 | #232192 | ISBN-13: 9780198787839
Available for pre-order: Due Jan 2017 Details
NHBS Price: £44.99 $57/€53 approx
Hardback | May 2012 | Edition: 1 | #194875 | ISBN-13: 9780199601615
Availability: Usually dispatched within 6 days Details
NHBS Price: £57.50 $73/€68 approx

About this book

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

Review from the first 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


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


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Biography

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

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

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

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