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Description: The last several years have produced an ever-increasing interest in characterizing behavior in terms of nonlinear dynamical systems. Likewise, the prevalence of motion capture devices and other rapidly sampled sensor data has also increased. Meeting the theoretical and technical challenges resulting from these trends requires researchers to expand their expertise in nonlinear time series methods for continuous data. In this workshop, I will give a crash course on Recurrence Quantification Analysis (RQA), using the R programming language. The workshop will include a brief introduction to the major concepts from dynamical systems theory (e.g., attractor dynamics) that are necessary for understanding and applying this general RQA framework, which now appears in virtually every area of science. The majority of the workshop, though, will focus on hands-on tutorials with real-world motion capture and physiological data. A major goal is to provide attendees with analysis templates they can immediately apply to their own datasets.