This package provides additional data sets, documentation, and
a few functions designed to extend the vcd package for Visualizing Categorical Data
and the gnm package for Generalized Nonlinear Models.
In particular, vcdExtra extends mosaic, assoc and sieve plots from vcd to handle
gnm() models and
adds a 3D version in
vcdExtra is now a support package for the book Discrete Data Analysis with R by Michael Friendly and David Meyer.
The main purpose of this package is to serve as a sandbox for
introducing extensions of
mosaic plots and related graphical methods
that apply to loglinear models fitted using
glm() and related, generalized nonlinear models fitted
gnm() in the gnm package.
A related purpose is to fill in some holes in the analysis of
categorical data in R, not provided in base R, vcd,
or other commonly used packages.
mosaic.loglm() method in the vcd
package to this wider class of models. This method also works for
the generalized nonlinear models fit with the gnm package,
including models for square tables and models with multiplicative associations.
introduces a 3D generalization of mosaic displays using the
A new class,
glmlist, is introduced for working with
collections of glm objects, e.g.,
Kway() for fitting
all K-way models from a basic marginal model, and
for brief statistical summaries of goodnes-of-fit for a collection of
For square tables with ordered factors,
Crossings() supplements the
specification of terms in model formulas using
Topo(), etc. in the gnm package.
In addition, there are many new data sets, a tutorial vignette,
Working with categorical data with R and the vcd package,
vignette("vcd-tutorial", package = "vcdExtra"),
and a few useful utility functions for manipulating categorical data sets and working with models for
Get the released version from CRAN:
The development version can be installed to your R library directly from this repo via:
if (!require(devtools)) install.packages("devtools") library(devtools) install_github("friendly/vcdExtra")
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.