A01=Andrew P. Beckerman
A01=Dylan Z. Childs
A01=Owen L. Petchey
Author_Andrew P. Beckerman
Author_Dylan Z. Childs
Author_Owen L. Petchey
Category=PBT
Category=PS
Category=UFM
Category=UMA
eq_bestseller
eq_computing
eq_isMigrated=0
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Product details
- ISBN 9780198787839
- Weight: 646g
- Dimensions: 174 x 247mm
- Publication Date: 26 Jan 2017
- Publisher: Oxford University Press
- Publication City/Country: GB
- Product Form: Hardback
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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.
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.
