Presenting Scientific Data in R

Description

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

• Oxford Biology Primers are the only resource to introduce prospective and current students of undergraduate-level bioscience to a range of topics from this dynamic experimental science, enticing readers to study further
• Its titles directly support two key transitions in the student journey: from school to undergraduate-level study, and from undergraduate to independent researcher
• Its modular format offers a high degree of flexibility, with teachers being able to draw on specific volumes that augment the post-16 curriculum, university lecturers being able to draw on specific volumes at different stages of the undergraduate curriculum, and with materials from the series being available for access in both print and digital formats
• All titles also available as e-books with functionality, navigation features, and links that offer extra learning support

About the Author(s)

Rosalind K. Humphreys, Researcher, University of St Andrews, and Graeme D. Ruxton, Professor of Evolutionary Ecology, University of St Andrews

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.

Table 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

Additional Resources

Digital formats and resources

Presenting Scientific Data in R is supported by online resources.

Student resources include: additional guides, data sets, multiple choice questions, R scripts, walk-through example from the book. Teachers can access: downloadable figures from the book.

This title is available for students and institutions to purchase in a variety of formats. In addition to the print version, the e-book offers a mobile experience and convenient access along with functionality tools, navigation features and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks