entropy (version 1.2.1)

entropy.plugin: Plug-In Entropy Estimator

Description

entropy.plugin computes the Shannon entropy H of a discrete random variable from the specified bin frequencies.

Usage

entropy.plugin(freqs, unit=c("log", "log2", "log10"))

Arguments

freqs

bin frequencies.

unit

the unit in which entropy is measured. The default is "nats" (natural units). For computing entropy in "bits" set unit="log2".

Value

entropy.plugin returns the Shannon entropy.

Details

The Shannon entropy of a discrete random variable is defined as \(H = -\sum p(x_i) \log( p(x_i) )\), where \(p(x_i)\) are the bin probabilities.

See Also

entropy, entropy.empirical, entropy.shrink, mi.plugin, KL.plugin, discretize.

Examples

# NOT RUN {
# load entropy library 
library("entropy")

# some frequencies
freqs = c(0.2, 0.1, 0.15, 0.05, 0, 0.3, 0.2)  

# and corresponding entropy
entropy.plugin(freqs)
# }

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