Multidimensional Recurrence Quantification Analysis (MdRQA) for the Analysis of Multidimensional Time-Series: A Software Implementation in MATLAB and Its Application to Group-Level Data in Joint Action

Sebastian Wallot, Andreas Roepstorff, Dan Mønster

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Abstract

We introduce Multidimensional Recurrence Quantification Analysis (MdRQA) as a tool to analyze multidimensional time-series data. We show how MdRQA can be used to capture the dynamics of high-dimensional signals, and how MdRQA can be used to assess coupling between two or more variables. In particular, we describe applications of the method in research on joint and collective action, as it provides a coherent analysis framework to systematically investigate dynamics at different group levels-from individual dynamics, to dyadic dynamics, up to global group-level of arbitrary size. The Appendix in Supplementary Material contains a software implementation in MATLAB to calculate MdRQA measures.

Original languageEnglish
Article number1835
JournalFrontiers in Psychology
Volume7
IssueNovember
ISSN1664-1078
DOIs
Publication statusPublished - 2016

Keywords

  • Correlation
  • Dynamics
  • Joint action
  • MATLAB
  • MdRQA
  • Multidimensional Recurrence Quantification Analysis
  • Multidimensional time-series

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