vcd (1.4-7)

4 users

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).

Maintainer: David Meyer
Author(s): David Meyer [aut, cre], Achim Zeileis [aut] (<>), Kurt Hornik [aut], Florian Gerber [ctb], Michael Friendly [ctb]

License: GPL-2

Uses: colorspace, lmtest, MASS, HSAUR, KernSmooth, coin, kernlab, mvtnorm
Reverse depends: arulesViz, biclust, DoE.base, ENmisc, gpairs, latticist, LearnEDA, miP, nnDiag, party, pcalg, pscl, RcmdrPlugin.mosaic, RcmdrPlugin.qual, RcmdrPlugin.SM, sdcMicroGUI, simPop, simPopulation, surveillance, TIMP, vcdExtra, VIM, YaleToolkit
Reverse suggests: abd, agridat, archetypes, BiplotGUI, ca, coin, colorspace, DoE.base, extracat, fastR, fastR2, ggplotify, glmertree, HH, HistData, HSAUR, HSAUR2, HSAUR3, IPSUR, Lahman, mosaic, movMF, party, partykit, pscl, rattle, RcmdrPlugin.HH, RcmdrPlugin.NMBU, RcmdrPlugin.pointG, RcmdrPlugin.qual, REdaS, RGraphics, RQDA, Rz, solaR, surveillance, tableplot, UsingR, xgboost

Released about 1 month ago.

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