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: 1.4-9
Depends: R (≥ 2.4.0), grid
Imports: stats, utils, MASS, grDevices, colorspace, lmtest
Suggests: KernSmooth, mvtnorm, kernlab, HSAUR3, coin
Published: 2021-10-18
Author: David Meyer [aut, cre], Achim Zeileis ORCID iD [aut], Kurt Hornik [aut], Florian Gerber [ctb], Michael Friendly [ctb]
Maintainer: David Meyer <David.Meyer at R-project.org>
License: GPL-2
NeedsCompilation: no
Citation: vcd citation info
Materials: NEWS
In views: TeachingStatistics
CRAN checks: vcd results

Documentation:

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

Downloads:

Package source: vcd_1.4-9.tar.gz
Windows binaries: r-devel: vcd_1.4-9.zip, r-release: vcd_1.4-9.zip, r-oldrel: vcd_1.4-9.zip
macOS binaries: r-release (arm64): vcd_1.4-9.tgz, r-oldrel (arm64): vcd_1.4-9.tgz, r-release (x86_64): vcd_1.4-9.tgz, r-oldrel (x86_64): vcd_1.4-9.tgz
Old sources: vcd archive

Reverse dependencies:

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

Linking:

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