/aest_dynamics_code

This repository contains the analysis scripts that are used in dynamics of aesthetic enjoyment project

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

This repository contains the code associated with the following paper:

Isik, A. I., & Vessel, E. A. (2019). Continuous ratings of movie watching reveal idiosyncratic dynamics of aesthetic enjoyment. PLOS ONE, 14(10), e0223896. https://doi.org/10.1371/journal.pone.0223896

The code is written in python, R and Matlab.

Python is mainly used for experimental stimulation presentation [PsychoPy2 v1.84.2], data manipulation and plotting.

R is used for statistical analyses.

Matlab is used for motion energy analysis and variance decomposition analysis.

The code and the data are also accessible through OSF: https://osf.io/tpxmk/