stat.functions {kyotil} | R Documentation |
H calculates entropy.
H(p, logbase = c("e", "2")) mutual.info(two.way.table, logbase = c("e", "2")) cor.mixed(x, ...) ## Default S3 method: cor.mixed(x, na.fun, method=c("pearson","spearman"), ...) ## S3 method for class 'vector' cor.mixed(x, y, na.fun, method=c("pearson","spearman"), ...) ## S3 method for class 'formula' cor.mixed(formula, data, na.fun, method=c("pearson","spearman"), ...) skew (x, na.rm = FALSE) 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)
p |
either a count vector or a probability vector, but can not be a vector of membership indicator |
logbase |
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na.rm |
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two.way.table |
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x |
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... |
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na.fun |
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method |
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y |
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formula |
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data |
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two.by.two.matrix |
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weight |
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maximum |
H(rep(1/5,5)) H(rep(3,5))