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factor
variable with one level per block-cluster and one level for the rest.combcl(x)
a <- arsim(2000, c(12,17),5, noise=0.2,shuffle = FALSE)
cfa <- cfluctile(a)
da <- as.data.frame(a)
clusters <- cfcl( da, ll = cfa)
dev.new()
fluctile(xtabs(da$Freq~clusters[,1] + clusters[,2]))
table(combcl(clusters))
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