Visualizing Categorical Data

Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.4-8 by David Meyer, 7 months ago

Browse source code at

Authors: David Meyer [aut, cre] , Achim Zeileis [aut] , Kurt Hornik [aut] , Florian Gerber [ctb] , Michael Friendly [ctb]

Documentation:   PDF Manual  

Task views: Graphic Displays & Dynamic Graphics & Graphic Devices & Visualization, Multivariate Statistics, Statistics for the Social Sciences, Teaching Statistics

GPL-2 license

Imports stats, utils, MASS, grDevices, colorspace, lmtest

Depends on grid

Suggests KernSmooth, mvtnorm, kernlab, HSAUR3, coin

Imported by CornerstoneR, DoE.base, HH, MoEClust, OTrecod, STEPCAM, VIM, arulesViz, eeptools, gpairs, jmv, pcalg, visStatistics, webr.

Depended on by simPop, vcdExtra.

Suggested by HSAUR, HSAUR2, HSAUR3, HistData, Lahman, REdaS, RcmdrPlugin.NMBU, RcmdrPlugin.pointG, UsingR, abd, agridat, archetypes, ca, coin, colorspace, fastR2, ggplotify, glmertree, mosaic, movMF, party, partykit, pscl, xgboost.

See at CRAN