entropy.plugin {entropy} R Documentation

## Plug-In Entropy Estimator

### Description

`entropy.plugin` computes the Shannon entropy H of a discrete random variable with the specified frequencies (probability mass function).

### Usage

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

### Arguments

 `freqs` frequencies (probability mass function). `unit` the unit in which entropy is measured. The default is "nats" (natural units). For computing entropy in "bits" set `unit="log2"`.

### Details

The Shannon entropy of a discrete random variable is defined as H = -∑_k p(k) \log( p(k) ), where p is its probability mass function.

### Value

`entropy.plugin` returns the Shannon entropy.

### Author(s)

Korbinian Strimmer (http://www.strimmerlab.org).

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

### Examples

```# 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)
```

[Package entropy version 1.3.0 Index]