Figure_3

Simulated time series of the three dimensions from the Lorenz system

datasets

Auto, Cross and Multi-dimensional recurrence quantification analysis.
Different methods for computing recurrence, cross vs. multidimensional
or profile it -only looking at the diagonal recurrent points-
as well as functions for optimization and plotting are proposed.
in-depth measures of the whole cross-recurrence plot,
Please refer to Coco and Dale (2014) <doi:10.3389/fpsyg.2014.00510>
and Wallot (2018) <doi:10.1080/00273171.2018.1512846>
for further details about the method.

Moreno I Coco

crqa

Recurrence Quantification Analysis for Categorical and
Continuous Time-Series

Moreno  I. Coco

Dan  Monster

Giuseppe Leonardi

Rick  Dale

Sebastian Wallot

James D. Dixon

John  C. Nash

Figure_3 function

A data frame with 2048 rows and 3 columns:<dl>
 <dt>V1</dt>
<dd>First dimension of the Lorenz system</dd> <dt>V2</dt>
<dd>Second dimension of the Lorenz system</dd> <dt>V3</dt>
<dd>Third dimension of the Lorenz system</dd> 
</dl>

Format

Simulated time series of the three dimensions from the Lorenz system — Figure_3

A data frame with 2048 rows and 3 columns:<dl>
 <dt>V1</dt>
<dd>First dimension of the Lorenz system</dd>

 <dt>V2</dt>
<dd>Second dimension of the Lorenz system</dd>

 <dt>V3</dt>
<dd>Third dimension of the Lorenz system</dd>

 
</dl>

Simulated time series of the three dimensions from the Lorenz system

Figure_3: Simulated time series of the three dimensions from the Lorenz system

Description

Usage

Arguments

Format