R: Distance Diversity between Probability Density Functions

dist.diversity {philentropy} | R Documentation

## Distance Diversity between Probability Density Functions

### Description

This function computes all distance values between two probability density functions that are available in `getDistMethods` and returns a vector storing the corresponding distance measures. This vector is named distance diversity vector.

### Usage

    dist.diversity(x, p, test.na = FALSE, unit = "log2")

### Arguments

`x` | a numeric `data.frame` or `matrix` (storing probability vectors) or a numeric `data.frame` or `matrix` storing counts (if `est.prob` is specified).
`p` | power of the Minkowski distance.
`test.na` | a boolean value indicating whether input vectors should be tested for NA values. Faster computations if `test.na = FALSE`.
`unit` | a character string specifying the logarithm unit that should be used to compute distances that depend on log computations. Options are: `unit = "log"` `unit = "log2"` `unit = "log10"`

### Author(s)

Hajk-Georg Drost

### Examples

    dist.diversity(rbind(1:10/sum(1:10), 20:29/sum(20:29)), p = 2, unit = "log2")

[Package philentropy version 0.4.0 Index]