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).


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Reference manual

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install.packages("vcd")

1.4-8 by David Meyer, a month ago


Browse source code at https://github.com/cran/vcd


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, STEPCAM, VIM, arulesViz, eeptools, gpairs, jmv, pcalg, webr.

Depended on by vcdExtra.

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


See at CRAN