Figure_2

A unidimensional sinusoidal time series

datasets

Auto, Cross and Multi-dimensional recurrence quantification analysis.
Different methods for computing recurrence, cross vs. multidimensional
or profile iti.e., 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 others (2021) <doi:10.32614/RJ-2021-062>,
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

Unidimensional and Multidimensional Methods for Recurrence
Quantification Analysis

Moreno  I. Coco

Dan  Mønster

Giuseppe Leonardi

Rick  Dale

Sebastian Wallot

James D. Dixon

John  C. Nash

Alexandra Paxton

Figure_2 function

A data frame with 45 rows and 1 column:<dl>
 <dt>V1</dt>
<dd>A unidimensional sinusoidal time series</dd> 
</dl>

Format

A unidimensional sinusoidal time series — Figure_2

A data frame with 45 rows and 1 column:<dl>
 <dt>V1</dt>
<dd>A unidimensional sinusoidal time series</dd>

 
</dl>

A unidimensional sinusoidal time series

Figure_2: A unidimensional sinusoidal time series

Description

Usage

Arguments

Format