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 source statistics 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.
Andrew P. Beckerman
, Owen L. Petchey
Oxford University Press
Country of Publication:
10 May 2012
Professional and scholarly
Professional & Vocational
A / AS level
Further / Higher Education
Preface 1: Why R? 2: Import explore graph I - getting started 3: Import explore graph II - importing and exploring 4: Import explore graph III - graphs 5: Getting started doing your statistics in R 6: Final comments and encouragement Appendix: references and datasets Index
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.
Reviews for Getting Started with R: An Introduction for Biologists
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. Graeme D. Ruxton, Trends in Ecology and Evolution