GKgamma

print.GKgamma

The Goodman-Kruskal \(\gamma\) statistic is a measure of
association for ordinal factors in a two-way table proposed by
Goodman and Kruskal (1954).

htest

category

Provides additional data sets, methods and documentation to complement 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 'glm()' and 'gnm()' models and
adds a 3D version in 'mosaic3d'.  Additionally, methods are provided for comparing and visualizing lists of
'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by
Michael Friendly and David Meyer.

Michael Friendly

vcdExtra

'vcd' Extensions and Additions

Heather Turner

David Meyer

Achim Zeileis

Duncan Murdoch

David Firth

Matt Kumar

Shuguang Sun

GKgamma function

<dl> <dt>x</dt>
<dd>A two-way frequency table, in matrix or table form. The rows and columns
 	are considered to be ordinal factors</dd> <dt>level</dt>
<dd>Confidence level for a significance test of \(\gamma \ne =\)</dd></dl>

Arguments

Michael Friendly; original version by Laura Thompson

Author

Calculate Goodman-Kruskal Gamma for ordered tables — GKgamma

<dl>

 <dt>x</dt>
<dd>A two-way frequency table, in matrix or table form. The rows and columns
 	are considered to be ordinal factors</dd>

 <dt>level</dt>
<dd>Confidence level for a significance test of \(\gamma \ne =\)</dd>

</dl>

GKgamma: Calculate Goodman-Kruskal Gamma for ordered tables

Description

Usage

Value

Arguments

Author

References

See Also

Examples