Fr. 44.50

Presenting Scientific Data in R - Creating Effective Graphs and Figures

English · Paperback / Softback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

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Written primarily for students embarking on an undergraduate bioscience degree, this primer provides an accessible, straightforward, and approachable guide to data presentation using R.

List of contents










  • 1: Introduction and getting started

  • 2: Pie charts and tables for qualitative data

  • 3: Bar charts for qualitative data

  • 4: Presenting single-sample data: Histograms and boxplots

  • 5: Comparing multiple samples: Boxplots and histograms

  • 6: Scatterplots for quantitative data

  • 7: Customizing everything using R: Day-to-day

  • 8: Customizing everything using R: More specialist



About the author

Rosalind Humphreys is a researcher at the University of St Andrews. Rosalind's research focuses on the behavioural and evolutionary ecology of interactions between species, but she has published peer-reviewed papers on statistical topics as well as reviews and original research articles concerning predator-prey interactions. Rosalind also acted as sole graphics designer for the Oxford Biology Primer Power Analysis: An Introduction for the Life Sciences by Colegrave and Ruxton (2020).

Graeme Ruxton is Professor of Evolutionary Ecology at the University of St Andrews. Graeme has co-authored (with Nick Colegrave) four editions of the OUP textbook Experimental Design for the Life Sciences. With a long history of publishing papers aimed at improving the design and analysis of experiments, Graeme has a particular interest in making the principles of data analysis readily accessible to a wide range of learners.

Summary

Written primarily for students embarking on an undergraduate bioscience degree, this primer provides an accessible, straightforward, and approachable guide to data presentation using R.

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