itrak: itrak: Tools for Processing Eye-Tracking Data

In jashu/itrak: Tools for processing eye-tracking data

Description

itrak provides functions to facilitate the processing of data from visual attention experiments. The functions can be divided into two main categories: attention bias and pupillometry. In addition, more generic functions are provided to address common data-cleaning chores associated with multi-trial experimental data.

Attention bias

The attention bias functions calculate attention bias scores using data from tasks such as the dot probe. The main function, summarize_bias, provides a summary table with metrics of mean bias and trial-level bias.

Pupillometry

The pupillometry functions denoise and standardize data from the continuous measurement of pupil diameter. get_artifacts and fix_artifacts identify and remove artifacts, such as those caused by blinking, and a low_pass_filter is provided to remove other sources of high-frequency noise. normalize standardizes pupil measurements into units of relative change from baseline.

Vignettes

To learn more about itrak, start with the vignettes: browseVignettes(package = "itrak"). Note that if you have installed this package using install_github, you need to add build_vignettes = TRUE to devtools::install_github to be able to access the vignettes in this way.

jashu/itrak documentation built on May 9, 2020, 1:57 p.m.