Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Peter Kampstra
Title: Beanplot: A Boxplot Alternative for Visual Comparison of Distributions
Abstract: Boxplots and variants thereof are frequently used to compare univariate data. Boxplots have the disadvantage that they are not easy to explain to non-mathematicians, and that some information is not visible. A beanplot is an alternative to the boxplot for visual comparison of univariate data between groups. In a beanplot, the individual observations are shown as small lines in a one-dimensional scatter plot. Next to that, the estimated density of the distributions is visible and the average is shown. It is easy to compare different groups of data in a beanplot and to see if a group contains enough observations to make the group interesting from a statistical point of view. Anomalies in the data, such as bimodal distributions and duplicate measurements, are easily spotted in a beanplot. For groups with two subgroups (e.g., male and female), there is a special asymmetric beanplot. For easy usage, an implementation was made in R.

Page views:: 44327. Submitted: 2008-09-19. Published: 2008-11-10.
Paper: Beanplot: A Boxplot Alternative for Visual Comparison of Distributions     Download PDF (Downloads: 45169)
beanplot_1.1.tar.gz: R source package Download (Downloads: 1907; 331KB)
v28c01.R: R example code from the paper Download (Downloads: 2390; 1KB)

DOI: 10.18637/jss.v028.c01

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.