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).

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

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

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)

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

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

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