recurrence-quantification-analysis

Recurrence Quantification Analysis in Julia

Tutorials and tools to help with RQA and CRQA in R.

Code and subset of data for "An exploratory analysis of emotion dynamics between mothers and adolescents during conflict discussions" (Main, Paxton, & Dale, 2016, Emotion).

Data mining based approach to study the effect of caffeinated coffee on SSVEP brain signals. https://doi.org/10.1016/j.compbiomed.2019.103526

Code to get the calculation speed for recurrence plots/ recurrence quantification analysis using MATLAB, R, Python, and Julia code.

Code for "Nonlinear, Natural, and Noisy: A Quantitative Approach to the Collection and Analysis of Real-World Social Behavior" (Chiovaro & Paxton, under review).

A code tutorial to accompany https://link.springer.com/article/10.3758/s13428-023-02098-1

Code for "Interpersonal movement synchrony responds to high- and low-level conversational constraints" (Paxton & Dale, 2017, Frontiers in Psychology).

For doing multidimensional recurrent quantification analysis(MdRQA) and sliding window version of it

Classification of RR interval signals of female smokers and non-smokers.

Code "Beyond consistency: Contextual dependency of language style in monologue and conversation" (Müller-Frommeyer, Kauffeld and Paxton, 2020, Cognitive Science)

Recurrence Quantification Analysis (RQA) toolbox for gait dynamics. Validated against PyRQA.

Python Flask tool to automatically synchronize matching video and audio files.

B(eo)W(u)LF: Facilitating recurrence analysis on multi-level language

Joint Recurrence Quantification Analysis and Joint Dynamical Invariants for Coupled Time Series

Tensor-based Time Series Analysis for nonlinear dynamical systems.

Dynamical-systems analysis for time signals with Rust-accelerated kernels