Weighted contingency coefficients
Description
Compute (weighted) pairwise contingency coefficients.
Usage
1  contingencyWt(x, ...)

Arguments
x 
for the default method, a vector that can be interpreted as factor.
For the matrix and 
... 
for the generic function, arguments to be passed down to the methods, otherwise ignored. 
Details
The function tableWt
is used for the computation of the
corresponding pairwise contingency tables. The following methods are implemented:

contingencyWt.default(x, y, weights = NULL, ...)

contingencyWt.matrix(x, weights = NULL, ...)

contingencyWt.data.frame(x, weights = NULL, ...)
Additional parameters are:
y: a vector that can be interpreted as factor (for the default method)
weights: an optional numeric vector containing sample weights
Value
For the default method, the (weighted) contingency coefficient of
x
and y
.
For the matrix and data.frame
method, a matrix of (weighted) pairwise
contingency coefficients for all combinations of columns. Elements below
the diagonal are NA
.
Author(s)
Andreas Alfons and Stefan Kraft
References
Kendall, M.G. and Stuart, A. (1967) The Advanced Theory of Statistics, Volume 2: Inference and Relationship. Charles Griffin & Co Ltd, London, 2nd edition.
See Also
tableWt
Examples
1 2 3 4 5 6 7 8 