Rousselet, G. , Pernet, C. R. and Wilcox, R. R. (2017) Beyond differences in means: robust graphical methods to compare two groups in neuroscience. European Journal of Neuroscience, 46(2), pp. 1738-1748. (doi: 10.1111/ejn.13610) (PMID:28544058)
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141172.pdf - Accepted Version 2MB |
Abstract
If many changes are necessary to improve the quality of neuroscience research, one relatively simple step could have great pay-offs: to promote the adoption of detailed graphical methods, combined with robust inferential statistics. Here we illustrate how such methods can lead to a much more detailed understanding of group differences than bar graphs and t-tests on means. To complement the neuroscientist’s toolbox, we present two powerful tools that can help us understand how groups of observations differ: the shift function and the difference asymmetry function. These tools can be combined with detailed visualisations to provide complementary perspectives about the data. We provide implementations in R and Matlab of the graphical tools, and all the examples in the article can be reproduced using R scripts.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Rousselet, Dr Guillaume |
Authors: | Rousselet, G., Pernet, C. R., and Wilcox, R. R. |
College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
Journal Name: | European Journal of Neuroscience |
Publisher: | Wiley |
ISSN: | 0953-816X |
ISSN (Online): | 1460-9568 |
Published Online: | 24 May 2017 |
Copyright Holders: | Copyright © 2017 Federation of European Neuroscience Societies and John Wiley and Sons Ltd |
First Published: | First published in European Journal of Neuroscience 46(2): 1738-1748 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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