9780198787846-0198787847-Getting Started with R: An Introduction for Biologists

Getting Started with R: An Introduction for Biologists

ISBN-13: 9780198787846
ISBN-10: 0198787847
Edition: 2
Author: Andrew P. Beckerman, Dylan Z. Childs, Owen L. Petchey
Publication date: 2017
Publisher: Oxford University Press
Format: Paperback 256 pages
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Book details

ISBN-13: 9780198787846
ISBN-10: 0198787847
Edition: 2
Author: Andrew P. Beckerman, Dylan Z. Childs, Owen L. Petchey
Publication date: 2017
Publisher: Oxford University Press
Format: Paperback 256 pages

Summary

Getting Started with R: An Introduction for Biologists (ISBN-13: 9780198787846 and ISBN-10: 0198787847), written by authors Andrew P. Beckerman, Dylan Z. Childs, Owen L. Petchey, was published by Oxford University Press in 2017. With an overall rating of 4.5 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent Getting Started with R: An Introduction for Biologists (Paperback) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $10.05.

Description

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.

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