recurr: Recurrence plot

In tseriesChaos: Analysis of Nonlinear Time Series

Description

Recurrence plot

Usage

recurr(series, m, d, start.time=start(series), end.time=end(series), ...)

Arguments

series	time series
m	embedding dimension
d	time delay
start.time	starting time window (in time units)
end.time	ending time window (in time units)
...	further parameters to be passed to filled.contour

Details

Produces the recurrence plot, as proposed by Eckmann et al. (1987). White is maximum distance, black is minimum.

warning

Be awared that number of distances to store goes as n^2, where n = length(window(series, start=start.time, end=end.time))!

Author(s)

Antonio, Fabio Di Narzo

References

Eckmann J.P., Oliffson Kamphorst S. and Ruelle D., Recurrence plots of dynamical systems, Europhys. Lett., volume 4, 973 (1987)

Examples

recurr(lorenz.ts, m=3, d=2, start.time=15, end.time=20)

Example output

Loading required package: deSolve

tseriesChaos documentation built on May 2, 2019, 6:38 a.m.