Recurrence Quantification Analysis | NRT Online Library for Data Science and Human Behavior

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This book was written by the pioneers of nonlinear methods as applied to the behavioral sciences. It gives succinct definitions, explanation, and demonstration of methods through examples. Tutorials in contemporary nonlinear methods for the behavioral sciences
This article provides an overview of the use of nonlinear methods in social and personality psychology. It gives a good overview of the conceptual underpinnings of recurrence analysis and provides a comparison to other dynamical methods. Complex Dynamical Systems in Social and Personality Psychology
This science brief from the APA covers many different approaches to the study of human behavior. It succinctly defines different methods and approaches for comparison. Nonlinear methods for understanding complex dynamical phenomena in psychological science

A webinar tutorial hosted by the APA on using CRQA with a focus on cognitive science. Based on the paper: Knight, A. P., Kennedy, D. M., & McComb, S. A. (2016). Using recurrence analysis to examine group dynamics. Group Dynamics: Theory, Research, and Practice, 20, 223-241. It also gives a walkthrough of some of the code in R. Using Recurrence Analysis to Examine Group Dynamics

This is a video of a PowerPoint presentation introducing RQA, including theoretical background, definitions of RQA measures, and examples of using RQA in R. It is quite long (almost 60 minutes) and provides a bit more detail than necessary for getting started with RQA. Using Recurrence Analysis to Examine Group Dynamics

This paper provides a practical, hands-on introduction to cross-recurrence quantification analysis (CRQA), diagonal cross-recurrence profiles (DCRP), and multidimensional recurrence quantification analysis (MdRQA) in R. The paper provides readers with a conceptual introduction and a step-by-step explanation on how the analyses are performed in R with a summary of the current best practices of their application. Analyzing Multivariate Dynamics – A Tutorial in R

This website defines all measures associated with RQA. Beyond that, it does not provide much information, but it is a helpful reference when first learning RQA or refreshing yourself on what each of the measures represents. Cross Recurrence Measures
This repo covers time series preparation for sound data, as well as documented code for running RQA across a large time series. ‘nonlinear-natural-noisy’ GitHub repository by mchiovaro
This repo covers continuous CRQA and includes practice data to use with the code. crqa-tool repository on GitHub by a-paxton