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Functions for analysing eye tracking data, including event detection (I-VT, I-DT and two means clustering), visualizations and area of interest (AOI) based analyses. See separate documentation for each function. The principles underlying I-VT and I-DT filters 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}).
Version: | 1.0.3 |
Depends: | R (≥ 3.5.0) |
Imports: | dplyr, ggplot2, zoo, ggforce, tidyr, ggpubr, jpeg, patchwork, shiny, plotly, base64enc, magick, scales |
Published: | 2025-02-07 |
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 |
NeedsCompilation: | no |
Citation: | kollaR citation info |
CRAN checks: | kollaR results |
Reference manual: | kollaR.pdf |
Package source: | kollaR_1.0.3.tar.gz |
Windows binaries: | r-devel: kollaR_1.0.3.zip, r-release: kollaR_1.0.3.zip, r-oldrel: kollaR_1.0.3.zip |
macOS binaries: | r-devel (arm64): kollaR_1.0.3.tgz, r-release (arm64): kollaR_1.0.3.tgz, r-oldrel (arm64): kollaR_1.0.3.tgz, r-devel (x86_64): kollaR_1.0.3.tgz, r-release (x86_64): kollaR_1.0.3.tgz, r-oldrel (x86_64): kollaR_1.0.3.tgz |
Old sources: | kollaR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.