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: |
1.4-13 |
| Depends: |
R (≥ 2.4.0), grid |
| Imports: |
stats, utils, MASS, grDevices, colorspace, lmtest |
| Suggests: |
KernSmooth, mvtnorm, kernlab, HSAUR3, coin |
| Published: |
2024-09-16 |
| DOI: |
10.32614/CRAN.package.vcd |
| Author: |
David Meyer  [aut,
cre],
Achim Zeileis
[aut],
Kurt Hornik [aut],
Florian Gerber [ctb],
Michael Friendly
[aut] |
| 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:
Downloads:
Reverse dependencies:
| Reverse depends: |
confreq, HD2013SGI, simPop, vcdExtra |
| Reverse imports: |
arulesViz, CornerstoneR, DanielBiostatistics10th, 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, TH.data, UsingR, xgboost |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=vcd
to link to this page.