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 |
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)