THIS PACKAGE IS UNDER DEVELOPMENT AND IS NOT READY FOR USE
Though we have hopes for this repository to be a registered package in the future, it is only for testing purposes, to be used in parallel to other tools, at this point in time. This project is currently worked on by Alexandros Tantos, Jake Ireland, and others.
It is preferrable that you have
coreutils (or something similar, giving you access to
realpath) installed for the project path to be interpretted by the shebang correctly.
This is a Julia implementation of a robust data-preparation and -analysis package using data from eye tracking experiments. This package is designed modelling an R package called
eyetrackingR. This package is not to be confused with the "EyeTracking.jl" package (at time of writing; October, 2020), which seems to be a GUI-style experimental interface (at first glance, perhaps similar to PyGaze).
cd into the
EyeTrackingUtils.jl directory after
cloneing it, and run
julia -E 'import Pkg; etu_home = dirname(@__FILE__); Pkg.activate(etu_home), Pkg.instantiate()'
To obtain any dependencies. This step will not be necessary once this package is registered.
This package has two main steps in the workflow, whose second step has three paths. This workflow is drawn from
- Data cleaning — obtain data and information about data from various eye-tracking sources (this step should be extremely robust), and puts data into a standardised format for analyses.
- Analyses —:
a) Overall Looking;
c) Time-Course of Looking.
- cdf151e — Began working on the package.
The default JuliaPlots backend
GR does not provide binaries for FreeBSD. Here's how you can build it from source.. That said,
StatsPlots is only a dependency for an example, and not for the main package.