Getting Started with R, 2nd Edition, 9780198787846
Paperback
Unlock data analysis for biology: graphs, stats, communication, and reproducible research.

Getting Started with R, 2nd Edition

An Introduction for Biologists

$166.36

  • Paperback

    256 pages

  • Release Date

    1 February 2017

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Summary

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, pap…

Book Details

ISBN-13:9780198787846
ISBN-10:0198787847
Author:Andrew P. Beckerman, Owen L. Petchey, Dylan Z. Childs
Publisher:Oxford University Press
Imprint:Oxford University Press
Format:Paperback
Number of Pages:256
Edition:2nd
Release Date:1 February 2017
Weight:498g
Dimensions:240mm x 167mm x 13mm
What They're Saying

Critics Review

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 EvolutionI 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

About The Author

Andrew P. Beckerman

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.

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