kollaR: Event Classification, Visualization and Analysis of Eye Tracking Data

Functions for analysing eye tracking data, including event detection, visualizations and area of interest (AOI) based analyses. The package includes implementations of the IV-T, I-DT, adaptive velocity threshold, and Identification by two means clustering (I2MC) algorithms. See separate documentation for each function. The principles underlying I-VT and I-DT algorithms are described in Salvucci & Goldberg (2000,\doi{10.1145/355017.355028}). Two-means clustering is described in Hessels et al. (2017, \doi{10.3758/s13428-016-0822-1}). The adaptive velocity threshold algorithm is described in Nyström & Holmqvist (2010,\doi{10.3758/BRM.42.1.188}). See a demonstration in the URL.

Version: 1.1.1
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, zoo, ggforce, tidyr, ggpubr, jpeg, patchwork, shiny, plotly, base64enc, magick, scales
Published: 2025-05-07
DOI: 10.32614/CRAN.package.kollaR
Author: Johan Lundin Kleberg [aut, cre]
Maintainer: Johan Lundin Kleberg <johan.lundin.kleberg at su.se>
License: GPL-3
URL: https://drjohanlk.github.io/kollaR/demo.html
NeedsCompilation: no
Citation: kollaR citation info
CRAN checks: kollaR results

Documentation:

Reference manual: kollaR.pdf

Downloads:

Package source: kollaR_1.1.1.tar.gz
Windows binaries: r-devel: kollaR_1.0.4.zip, r-release: kollaR_1.0.4.zip, r-oldrel: kollaR_1.0.4.zip
macOS binaries: r-release (arm64): kollaR_1.1.1.tgz, r-oldrel (arm64): kollaR_1.1.1.tgz, r-release (x86_64): kollaR_1.1.1.tgz, r-oldrel (x86_64): kollaR_1.1.1.tgz
Old sources: kollaR archive

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