README.md

In andy0682/gazeR: Identification of visual fixations from eye-tracking data

gazeR

The goal of gazeR is to identify visual fixations from eye-tracking data with Density Based Clustering. For now the only tool is based on the dbscan algorithm (from the dbscan library).

Here is a brief description of the package implementation procedure:

• The package and its documentations were initiated in Rstudio with the devtools and roxygen2 libraries.
• An initial Unit Test Protocol was implemented with the testthat library.
• Final full check (as with R cmd check) was performed with the devtools::check() function.
• The packages was then pushed to this GitHub repository.
• Continuous integration with Travis was implemented via github_actions (https://app.travis-ci.com/github/andy0682/gazeR)

Installation

You can install this version under development of gazeR from:

# install.packages("devtools")
devtools::install_github("andy0682/gazeR")

For the moment the package has only one function: gazeClusters(dat, eps, minPts = 5, recRate = NULL)

If you download the package, you can see the function documentation by typing ?gazeClusters in the console.

andy0682/gazeR documentation built on Dec. 19, 2021, 3:35 a.m.