Recurrence Quantification Analysis in Julia

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

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

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

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

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