msu (version 0.0.1)

joint_shannon_entropy: Estimation of the Joint Shannon entropy for two categorical variables.

Description

The joint Shannon entropy provides an estimation of the measure of uncertainty between two random variables (see https://en.wikipedia.org/wiki/Joint_entropy).

Usage

joint_shannon_entropy(x, y)
joint_H(x, y)

Arguments

x

A factor as the represented categorical variable.

y

A factor as the represented categorical variable.

Value

Joint Shannon entropy estimation for variables x and y.

See Also

shannon_entropy for the entropy for a single variable and multivar_joint_shannon_entropy for the entropy associated with more than two random variables.

Examples

# NOT RUN {
joint_shannon_entropy(factor(c(0,0,1,1)), factor(c(0,1,0,1)))
joint_shannon_entropy(factor(c('a','b','c')), factor(c('c','b','a')))
# }
# NOT RUN {
joint_shannon_entropy(1)
joint_shannon_entropy(c('a','b'), c('d','e'))
# }