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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

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.

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Genre: Journal Article
Alternative Title : MdRQA

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 Creators:
Wallot, Sebastian1, Author           
Roepstorff, Andreas, Author
Mønster, Dan, Author
Affiliations:
1Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421695              

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Free keywords: Multidimensional Recurrence Quantification Analysis,MdRQA,multidimensional time-series,Correlation,dynamics,Joint Action,MATLAB
 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.

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Language(s): eng - English
 Dates: 2016-11-22
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fpsyg.2016.01835
ISSN: 1664-1078
 Degree: -

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Title: Frontiers in Psychology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 7 Sequence Number: 1835 Start / End Page: - Identifier: -