vcd: 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).

Version: 1.4-12
Depends: R (≥ 2.4.0), grid
Imports: stats, utils, MASS, grDevices, colorspace, lmtest
Suggests: KernSmooth, mvtnorm, kernlab, HSAUR3, coin
Published: 2023-12-29
DOI: 10.32614/CRAN.package.vcd
Author: David Meyer ORCID iD [aut, cre], Achim Zeileis ORCID iD [aut], Kurt Hornik ORCID iD [aut], Florian Gerber [ctb], Michael Friendly ORCID iD [aut]
Maintainer: David Meyer <David.Meyer at>
License: GPL-2
NeedsCompilation: no
Citation: vcd citation info
Materials: NEWS
In views: TeachingStatistics
CRAN checks: vcd results


Reference manual: vcd.pdf
Vignettes: Residual-Based Shadings in vcd
The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd


Package source: vcd_1.4-12.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): vcd_1.4-12.tgz, r-oldrel (arm64): vcd_1.4-12.tgz, r-release (x86_64): vcd_1.4-12.tgz, r-oldrel (x86_64): vcd_1.4-12.tgz
Old sources: vcd archive

Reverse dependencies:

Reverse depends: confreq, HD2013SGI, simPop, vcdExtra
Reverse imports: arulesViz, CornerstoneR, DoE.base, eeptools, gpairs, HH, jmv, MoEClust, oHMMed, OTrecod, pcalg, reappraised, reportROC, STEPCAM, VIM, visStatistics, webr
Reverse suggests: abd, agridat, archetypes, ca, coin, colorspace, cta, fastR2, flowPlots, fmsb, ggplotify, glmertree, HistData, HSAUR, HSAUR2, HSAUR3, Lahman, mosaic, movMF, party, partykit, pscl, RcmdrPlugin.NMBU, REdaS, sageR, sephora,, UsingR, xgboost


Please use the canonical form to link to this page.