This application allows users to generate customized box plots in a number of variants based on their data. A data matrix can be uploaded as a file or pasted into the application. Basic box plots are generated based on the data and can be modified to include additional information. Additional features become available when checking that option. Information about sample sizes can be represented by the width of each box where the widths are proportional to the square roots of the number of observations n. Notches can be added to the boxes. These are defined as +/-1.58*IQR/sqrt(n) which gives roughly 95% confidence that two medians are different. It is also possible to define the whiskers based on the ideas of Spear and Tukey. Additional options of data visualization (violin and bean plots) reveal more information about the underlying data distribution. Plots can be labeled, customized (colors, dimensions, orientation) and exported as eps, pdf and svg files.

R Development Core Team. *R: A Language and Environment for Statistical Computing.* R Foundation for Statistical Computing, Vienna (2013)

RStudio and Inc. *shiny: Web Application Framework for R.* R package version 0.5.0 (2013)

Adler, D. *vioplot: Violin plot.* R package version 0.2 (2005)

Eklund, A. * beeswarm: The bee swarm plot, an alternative to stripchart.* R package version 0.1.5 (2012)

Kampstra, P. *Beanplot: A Boxplot Alternative for Visual Comparison of Distributions.* Journal of Statistical Software, Code Snippets 28(1). 1-9 (2008)

Neuwirth, E. *RColorBrewer: ColorBrewer palettes.* R package version 1.0-5. (2011)

Hadley Wickham and Lisa Stryjewski: 40 years of boxplots

Kristin Potter: Methods for Presenting Statistical Information: The Box Plot

Download eps-file
Download pdf-file
Download svg-file
#### Box plot statistics

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This application was created by the
Tyers
and
Rappsilber
labs. Please send bugs and feature requests to Michaela Spitzer (michaela.spitzer(at)gmail.com) and Jan Wildenhain (jan.wildenhain(at)gmail.com). This application uses the
shiny package from RStudio
.

What do the box plots show, explain colours if used.

Download box plot data as .CSV fileA: For EPS files make sure to 'ungroup' all objects so they can be edited independently. In Adobe Illustrator you will also need to use the 'release compound path' command. For PDF files you should 'release clipping mask'. SVG import appears to have problems in Adobe Illustrator and Corel Draw and should be avoided. EPS, PDF and SVG import all work with Inkscape http://www.inkscape.org/.