The current article introduces lagged multidimensional recurrence quantification analysis. The method is an extension of multidimensional recurrence quantification analysis and allows to quantify the joint dynamics of multivariate time series and to investigate leader-follower relationships in behavioral and physiological data. Moreover, the method enables the quantification of the joint dynamics of a group, when such leader-follower relationships are taken into account. We first provide a formal presentation of the method, and then apply it to synthetic data, as well as data sets from joint action research, investigating the shared dynamics of facial expression and beats-per-minute recordings within different groups. A wrapper function is included, for applying the method together with the "crqa" package in R. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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滞后多维递归量化分析，用于确定多维时间序列中的领导者-追随者关系。


本文介绍了滞后多维复发量化分析。该方法是多维复发量化分析的扩展，允许量化多变量时间序列的联合动力学，并研究行为和生理数据中的领导者-追随者关系。此外，当考虑到这种领导者 - 追随者关系时，该方法能够量化一个群体的联合动态。我们首先提供该方法的正式介绍，然后将其应用于合成数据以及来自联合行动研究的数据集，调查不同组内面部表情和每分钟心跳记录的共享动态。包括一个包装器函数，用于将该方法与 R 中的“crqa”包一起应用（PsycInfo 数据库记录 （c） 2024 APA，保留所有权利）。