Multivariate Distance Correlation for two sets of variables
Computes the distances within two sets of variables and the corresponding distance correlation.
dcorMVtable(x, ind = 1, method = "euclidean")
A contingency table of class
The indices for the first set of variables. The second set consists of all remaining variables.
The method for dist
The distance correlation between 0 and 1 for the distances from the two sets of variables.
This code has not been tested thoroughly and may still contain errors.
dcorMVdata, wdcor, approx.dcor
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## Not run: 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) ## End(Not run)
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