Preprocessing Pupil Size Data

Pupillometric data collected using SR Research Eyelink eye trackers requires significant preprocessing. This package contains functions for preparing pupil dilation data for visualization and statistical analysis. Specifically, it provides a pipeline of functions which aid in data validation, the removal of blinks/artifacts, downsampling, and baselining, among others. Additionally, plotting functions for creating grand average and conditional average plots are provided. See the vignette for samples of the functionality. The package is designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer.


Reference manual

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0.6.2 by Aki-Juhani Kyröläinen, a year ago

Browse source code at

Authors: Aki-Juhani Kyröläinen [aut, cre] , Vincent Porretta [aut] , Jacolien van Rij [ctb] , Juhani Järvikivi [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports ggplot2, mgcv, shiny, tidyr, stats, robustbase, zoo, signal

Depends on dplyr, rlang, VWPre

Suggests knitr, rmarkdown, gridExtra

See at CRAN