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 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

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