weighted_ordinal_pattern_distribution: A function to compute weighted ordinal pattern statistics

In Emergent-Epidemics/statcomp: Statistical Complexity and Information Measures for Time Series Analysis

Description

Computation of weighted ordinal patterns of a time series. Weights can be generated by a user-specified function (e.g. variance-weighted, see Fadlallah et al 2013).

Usage

weighted_ordinal_pattern_distribution(x, ndemb)

Arguments

x	A numeric vector (e.g. a time series), from which the weighted ordinal pattern distribution is to be calculated
ndemb	Embedding dimension of the ordinal patterns (i.e. sliding window size). Should be chosen such as length(x) >> ndemb

Details

This function returns the distribution of weighted ordinal patterns using the Keller coding scheme, detailed in Physica A 356 (2005) 114-120. NA values are allowed. The function uses old and slow R routines and is only maintained for comparability. For faster routines, see weighted_ordinal_pattern_distribution.

Value

A character vector of length factorial(ndemb) is returned.

Author(s)

Sebastian Sippel

References

Fadlallah, B., Chen, B., Keil, A. and Principe, J., 2013. Weighted-permutation entropy: A complexity measure for time series incorporating amplitude information. Physical Review E, 87(2), p.022911.

See Also

weighted_ordinal_pattern_distribution

Examples

x = arima.sim(model=list(ar = 0.3), n = 10^4)
weighted_ordinal_pattern_distribution(x = x, ndemb = 6)

Emergent-Epidemics/statcomp documentation built on Oct. 30, 2019, 5:32 p.m.