extracat (version 1.6-4)

dcorMVtable: Multivariate Distance Correlation for two sets of variables

Description

Computes the distances within two sets of variables and the corresponding distance correlation.

Usage

dcorMVtable(x, ind = 1, method = "euclidean")

Arguments

x

A contingency table of class table.

ind

The indices for the first set of variables. The second set consists of all remaining variables.

method

The method for dist

Value

• The distance correlation between 0 and 1 for the distances from the two sets of variables.

See Also

dcorMVdata, wdcor, approx.dcor

Examples

A2 <- arsim(2000,c(8,9),5,0.1)
	A2 <- optile(A2, iter=100)
	BCI(A2)
	wdcor(A2)
	
	p1 <- runif(11)+0.1
	p1 <- p1/sum(p1)
	A2b <- apply(A2,1:2,function(z) rmultinom(1,z,p1))
	
	# now the first variable is roughly independent from the other two:
	
	dcorMVtable(as.table(A2b),ind = 1)
	
	# here the third variable is NOT independent from the others:
	A3 <- arsim(2000,c(8,9,11),5,0.1)
	A3 <- optile(A3, iter=100)
	BCI(A3)
	dcorMVtable(A3,ind = 3)