extracat (version 1.7-6)

BCC: The Bertin Classification Criterion

Description

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

Usage

BCC(x)

Arguments

x

A data matrix, table or array.

Value

The criterion value.

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).

See Also

kendalls

Examples

# NOT RUN {
M <-arsim(1000, c(12,12), 3)
BCC(M)

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



# }