This workshop at the Max Planck Institute for Empirical Aesthetics provides hands-on training for analyzing multivariate timeseries data using Recurrence Quantification Analysis (RQA) techniques in R.
This workshop provides hands-on training for analyzing multivariate timeseries data using Recurrence Quantification Analysis (RQA) techniques in R.
Content-wise, the focus lies on the analysis of timeseries/sequences of joint action and group behavior (such as motion capture, physiological measures, sequences of coded behavior, transcripts etc…) in order to quantify group-dynamics such as synchrony and coupling between individuals, as well as leader-follower relationships. However, the analysis can be applied to any multivariate timeseries data.
To that end, we will introduce RQA techniques – particularly Cross-Recurrence Quantification Analysis (CRQA) and Multidimensional Recurrence Analysis (MdRQA) – which have been employed in a variety of group- and joint-actions studies. We will provide some theoretical input for participants, but focus on hand-on training with R using simulated and real-world data.
Participants are welcome to bring their own data, which they can analyze during the training sessions or together with the instructors at the end of the workshop.
Instructors are Sebastian Wallot, PhD, Language and Literature, Max Planck Insitute for Empirical Aesthetics, and Giuseppe Leonardi, PhD, Faculty of Arts and Humanities, Paderborn University, Germany