The second edition of a popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers.
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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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Paperback. Condition: new. Paperback. 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 oralpresentations, 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 andexpanded 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, graduatestudents, professional researchers, and practitioners in the biological sciences. A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers now in a new revised edition, incorporating the updates in the R environment, and also adding guidance on the use of more complex statistical analyses and tools. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780198787846
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