Getting Started with R: An introduction for biologists

Paperback | May 25, 2012

byAndrew P. Beckerman, Owen L. Petchey

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Learning how to get answers from data is an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting changes in data management and analysis during the last decade has been the growth of open source software. The open sourcestatistics and programming language R has emerged as a critical component of any researcher's toolbox. Indeed, R is rapidly becoming the standard software for analyses, graphical presentations, and programming in the biological sciences.This book provides a functional introduction for biologists new to R. While teaching how to import, explore, graph, and analyse data, it keeps readers focused on their ultimate goals - communicating their data in oral presentations, posters, papers, and reports. It also provides a consistent method(workflow) for using R that is simple, efficient, reliable, accurate, and reproducible. The material in the book reproduces the engaging and sometimes humorous nature of the three-day course on which it is based.

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Learning how to get answers from data is an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting changes in data management and analysis during the last decade has been the growth of open source software. The open sourcestatistics and programming language R has emerged as...

Andrew Beckerman and Owen Petchey are Evolutionary Ecologists with over 20 years of combined experience using R for data analysis and visualisation. Andrew is a Senior Lecturer at the University of Sheffield, UK and Owen is an Assistant Professor at the University of Zurich, Switzerland.

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Format:PaperbackDimensions:160 pages, 9.45 × 6.61 × 0.01 inPublished:May 25, 2012Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199601623

ISBN - 13:9780199601622

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Table of Contents

Preface1. Why R?2. Import explore graph I - getting started3. Import explore graph II - importing and exploring4. Import explore graph III - graphs5. Getting started doing your statistics in R6. Final comments and encouragementAppendix: references and datasetsIndex