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tseriesChaos (version 0.1-13.1)

d2: Sample correlation integral (at multiple length scales)

Description

Computes the sample correlation integral over a grid of neps length scales starting from eps.min, and for multiple embedding dimensions

Usage

d2(series, m, d, t, eps.min, neps=100)

Arguments

series

time series

m

max embedding dimension

d

time delay

t

Theiler window

eps.min

min length scale

neps

number of length scales to evaluate

Value

Matrix. Column 1: length scales. Column i=2, …, m+1: sample correlation integral for embedding dimension i-1.

Details

Computes the sample correlation integral over neps length scales starting from eps.min, for embedding dimension 1,…,m , considering a t time window (see references). The slope of the linear segment in the log-log plot gives an estimate of the correlation dimension (see the example).

References

Hegger, R., Kantz, H., Schreiber, T., Practical implementation of nonlinear time series methods: The TISEAN package; CHAOS 9, 413-435 (1999)

Examples

Run this code
# NOT RUN {
d2(lorenz.ts, m=6, d=2, t=4, eps.min=2)
# }

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