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

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install.packages("vcd")

1.4-14 by David Meyer, 2 months 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 [aut]


Documentation:   PDF Manual  


GPL-2 license


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

Depends on grid

Suggests KernSmooth, mvtnorm, kernlab, HSAUR3, coin


Imported by DanielBiostatistics10th, DoE.base, HH, MoEClust, MultBiplotR, OTrecod, VIM, arulesViz, autotestR, eeptools, gpairs, jmv, oHMMed, pcalg, reportROC, visStatistics, webr.

Depended on by confreq, simPop, vcdExtra.

Suggested by BioStatR, HSAUR, HSAUR2, HSAUR3, HistData, Lahman, ModStatR, REdaS, RKorAPClient, RcmdrPlugin.NMBU, TH.data, UsingR, abd, agridat, archetypes, ca, coin, colorspace, fastR2, fmsb, ggplotify, glmertree, mosaic, movMF, nestedLogit, party, partykit, pscl, sageR, xgboost.


See at CRAN