handmovement

Hand-movement velocity profiles of two participants (P1 and P2) for the dominant (d) and non-dominant (n) hand.

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  Monster

Giuseppe Leonardi

Rick  Dale

Sebastian Wallot

James D. Dixon

John  C. Nash

Alexandra Paxton

handmovement function

A dataframe of 5799 observations.
<dl>
 <dt>P1_TT_d</dt>
<dd>Participant 1 dominant hand</dd> <dt>P1_TT_n</dt>
<dd>Participant 1 non-dominant hand</dd> <dt>P2_TT_d</dt>
<dd>Participant 2 dominant hand</dd> <dt>P2_TT_n</dt>
<dd>Participant 2 non-dominant</dd> 
</dl>

Format

Hand-movement velocity profiles of two participants (P1 and P2) for the dominant (d) and non-dominant (n) hand.

Continuous series of hand movements — handmovement

A dataframe of 5799 observations.
<dl>
 <dt>P1_TT_d</dt>
<dd>Participant 1 dominant hand</dd>

 <dt>P1_TT_n</dt>
<dd>Participant 1 non-dominant hand</dd>

 <dt>P2_TT_d</dt>
<dd>Participant 2 dominant hand</dd>

 <dt>P2_TT_n</dt>
<dd>Participant 2 non-dominant</dd>

 
</dl>

handmovement: Continuous series of hand movements

Description

Usage

Arguments

Format

References