Skip to content

pmasulli/EyeTrackingPCA

Repository files navigation

Data-driven analysis of eye-tracking data

Companion code to the article:

Paolo Masulli, Martyna Galazka, David Eberhard, Jakob Åsberg Johnels, Christopher Gillberg, Eva Billstedt, Nouchine Hadjikhani, Tobias S. Andersen, Data-driven analysis of gaze patterns in face perception: Methodological and clinical contributions, Cortex, Volume 147, 2022, Pages 9-23, ISSN 0010-9452, https://doi.org/10.1016/j.cortex.2021.11.011.

The article is available as open access.

How to use

  1. Create a .Renviron based on .Renviron.example, setting the DATA_DIR variable to the appropriate value for your system.
  2. Run run_analysis.R. This will run a series of steps in the analysis in succession. The output is placed in the subdirectory output under your DATA_DIR.

Citation

On top of the conditions stipulated in the software license (see the LICENSE file), you are kindly asked to cite our article if you make use of this code in any academic context.

About

Modeling of Eye-Tracking data based on PCA and feature selection

Resources

License

Stars

1 star

Watchers

1 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages