tsnet_rn: Construct the recurrence network from a time series.

In ts2net: From Time Series to Networks

Construct the recurrence network from a time series.

Description

This function constructs the recurrence matrix of the time series using the function 'rqa()' from nonlinearTseries package.

Usage

tsnet_rn(x, radius, embedding.dim, time.lag = 1, do.plot = FALSE, ...)

Arguments

x	Array. Time series
radius	Maximum distance between two phase-space points to be considered a recurrence.
embedding.dim	Integer denoting the dimension in which we shall embed the time.series. If missing, the embedding dimensions is estimated using 'estimateEmbeddingDim()' from nonlinearTseries. The constructed igraph network has the estimated dimension (and other info) as a parameter. For example: net$embedding_dim
time.lag	Integer denoting the number of time steps that will be use to construct the Takens' vectors.
do.plot	Boolean. Show recurrence plot (default = FALSE)
...	Other parameters to 'rqa()' from nonlinearTseries

Value

recurrence network

ts2net documentation built on June 9, 2022, 9:06 a.m.