vipor: Plot Categorical Data Using Quasirandom Noise and Density Estimates

Generate a violin point plot, a combination of a violin/histogram plot and a scatter plot by offsetting points within a category based on their density using quasirandom noise.

Version: 0.4.5
Depends: R (≥ 3.0.0)
Imports: stats, graphics
Suggests: testthat, beeswarm, lattice, ggplot2, beanplot, vioplot, ggbeeswarm
Published: 2017-03-22
Author: Scott Sherrill-Mix, Erik Clarke
Maintainer: Scott Sherrill-Mix <shescott at upenn.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: vipor results

Documentation:

Reference manual: vipor.pdf
Vignettes: Grouped one-dimensional data method comparison
vipor package usage examples

Downloads:

Package source: vipor_0.4.5.tar.gz
Windows binaries: r-devel: vipor_0.4.5.zip, r-release: vipor_0.4.5.zip, r-oldrel: vipor_0.4.5.zip
macOS binaries: r-release (arm64): vipor_0.4.5.tgz, r-oldrel (arm64): vipor_0.4.5.tgz, r-release (x86_64): vipor_0.4.5.tgz, r-oldrel (x86_64): vipor_0.4.5.tgz
Old sources: vipor archive

Reverse dependencies:

Reverse imports: dynplot, ggbeeswarm, iSEE

Linking:

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