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      Getting Started with R: An Introduction for Biologists

      3 in stock

      Firm sale: non returnable item
      SKU 9780198787846 Categories ,
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      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 c...

      £39.99

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      Description

      Product ID:9780198787846
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Getting Started with R
      Subtitle:An Introduction for Biologists
      Authors:Author: Andrew P. Beckerman, Owen L. Petchey, Dylan Z. Childs
      Page Count:256
      Subjects:Probability and statistics, Probability & statistics, Biology, life sciences, Mathematical and statistical software, Programming techniques, Biology, life sciences, Mathematical & statistical software, Program concepts / learning to program
      Description:Select Guide Rating
      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.
      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.
      Imprint Name:Oxford University Press
      Publisher Name:Oxford University Press
      Country of Publication:GB
      Publishing Date:2017-02-02

      Additional information

      Weight490 g
      Dimensions170 × 240 × 14 mm