BCC: The Bertin Classification Criterion

In extracat: Categorical Data Analysis and Visualization

Description

Computes the Bertin Classification Criterion for a contingency table of any dimensions.

Usage

BCC(x)

Arguments

x	A data matrix, table or array.

Details

The BCC counts the number of observation pairs which differ in all variables but are not fully concordant, (i.e. neither of the two observations of each pair is larger than the other in all variables).

Value

The criterion value.

Author(s)

Alexander Pilhoefer

See Also

kendalls

Examples

M <-arsim(1000, c(12,12), 3)
BCC(M)

M2 <- optile(M, iter = 100)
BCC(M2)

extracat documentation built on July 17, 2018, 5:05 p.m.