The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 0.4.7
Depends: R (≥ 3.5.0)
Imports: stats, graphics
Suggests: testthat, beeswarm, lattice, ggplot2, beanplot, vioplot, ggbeeswarm
Published: 2023-12-18
Author: Scott Sherrill-Mix, Erik Clarke
Maintainer: Scott Sherrill-Mix <ssm at msu.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_0.4.7.tar.gz
Windows binaries: r-devel: vipor_0.4.7.zip, r-release: vipor_0.4.7.zip, r-oldrel: vipor_0.4.7.zip
macOS binaries: r-release (arm64): vipor_0.4.7.tgz, r-oldrel (arm64): vipor_0.4.7.tgz, r-release (x86_64): vipor_0.4.7.tgz, r-oldrel (x86_64): vipor_0.4.7.tgz
Old sources: vipor archive

Reverse dependencies:

Reverse imports: Durga, ggbeeswarm, iSEE

Linking:

Please use the canonical form https://CRAN.R-project.org/package=vipor to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.