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

Wallot, Sebastian; Roepstorff, Andreas; Mønster, Dan

doi:10.3389/fpsyg.2016.01835

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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

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Wallot, Sebastian
Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

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Citation

Wallot, S., Roepstorff, A., & Mønster, D. (2016). 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. Frontiers in Psychology, 7: 1835. doi:10.3389/fpsyg.2016.01835.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002C-15D0-7

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 contains a software implementation in MATLAB to calculate MdRQA measures.