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H(p, logbase = c("e", "2"))
mutual.info(two.way.table, logbase = c("e", "2"))
cor.mixed(x, ...)
"cor.mixed" (x, na.fun, method=c("pearson","spearman"), ...)
"cor.mixed" (x, y, na.fun, method=c("pearson","spearman"), ...)
"cor.mixed" (formula, data, na.fun, method=c("pearson","spearman"), ...)
info.cor(two.way.table)
yule.y(two.by.two.matrix)
kappa.cor(two.by.two.matrix, weight = c(1, 1), maximum = FALSE)
l.measure(two.by.two.matrix)