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kollaR  

Filtering, Visualization and Analysis of Eye Tracking Data
View on CRAN: Click here


Download and install kollaR package within the R console
Install from CRAN:
install.packages("kollaR")

Install from Github:
library("remotes")
install_github("cran/kollaR")

Install by package version:
library("remotes")
install_version("kollaR", "1.0.4")



Attach the package and use:
library("kollaR")
Maintained by
Johan Lundin Kleberg
[Scholar Profile | Author Map]
First Published: 2025-02-07
Latest Update: 2025-02-07
Description:
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}).
How to cite:
Johan Lundin Kleberg (2025). kollaR: Filtering, Visualization and Analysis of Eye Tracking Data. R package version 1.0.4, https://cran.r-project.org/web/packages/kollaR. Accessed 03 Apr. 2025.
Previous versions and publish date:
1.0.2 (2025-02-07 11:10), 1.0.3 (2025-02-07 16:00)
Other packages that cited kollaR R package
View kollaR citation profile
Other R packages that kollaR depends, imports, suggests or enhances
Complete documentation for kollaR
Functions, R codes and Examples using the kollaR R package
Full kollaR package functions and examples
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