R: Permutation Distribution Distance

PDCDistance {TSdist} | R Documentation

## Permutation Distribution Distance

### Description

Calculates the permutation distribution distance between two numerical series of the same length.

### Usage

    PDCDistance(x, y, ...)

### Arguments

`x` | Numeric vector containing the first time series.
`y` | Numeric vector containing the second time series.
`...` | Additional parameters for the function. See `pdcDist` for more information.

### Details

This is simply a wrapper for the `pdcDist` function of package pdc. As such, all the functionalities of the `pdcDist` function are also available when using this function.

### Value

`d` | The computed distance between the pair of series.

### Author(s)

Usue Mori, Alexander Mendiburu, Jose A. Lozano.

### References

Andreas M. Brandmaier (2015). pdc: An R package for Complexity-Based Clustering of Time Series. Journal of Statistical Software, Vol 67, Issue 5.

Pablo Montero, José A. Vilar (2014). TSclust: An R Package for Time Series Clustering. Journal of Statistical Software, 62(1), 1-43. URL http://www.jstatsoft.org/v62/i01/.

### See Also

To calculate this distance measure using `ts`, `zoo` or `xts` objects see `TSDistances`. To calculate distance matrices of time series databases using this measure see `TSDatabaseDistances`.

### Examples

    # The objects example.series1 and example.series2 are two
    # numeric series of length 100.

    data(example.series1)
    data(example.series2)

    # For information on their generation and shape see
    # help page of example.series.

    help(example.series)

    # Calculate the normalized compression based distance between the two series
    # using the default parameters.

    PDCDistance(example.series1, example.series2)

[Package TSdist version 3.6 Index]