screen

<p>Screen and stimuli dimensions in pixels and mm, belonging to the dataset 'eye_data'.</p>

datasets

Eye-tracking data must be transformed into fixations and saccades before it can be analyzed. This package provides a non-parametric speed-based approach to do this on a trial basis. The method is especially useful when there are large differences in data quality, as the thresholds are adjusted accordingly. The same pre-processing procedure can be applied to all participants, while accounting for individual differences in data quality.

Daan van Renswoude

gazepath

Parse Eye-Tracking Data into Fixations

screen function

<p>A dataframe with 4 variables (the height and width of stimuli in pixels and mm)</p>

screen: Screen Dimensions

Description

Usage

Arguments

Format

References