Package: eyetools 0.7.2

Beesley Tom

eyetools: Analyse Eye Data

Enables the automation of actions across the pipeline, including initial steps of transforming binocular data and gap repair to event-based processing such as fixations, saccades, and entry/duration in Areas of Interest (AOIs). It also offers visualisation of eye movement and AOI entries. These tools take relatively raw (trial, time, x, and y form) data and can be used to return fixations, saccades, and AOI entries and time spent in AOIs. As the tools rely on this basic data format, the functions can work with data from any eye tracking device. Implements fixation and saccade detection using methods proposed by Salvucci and Goldberg (2000) <doi:10.1145/355017.355028>.

Authors:Beesley Tom [aut, cre], Ivory Matthew [aut]

eyetools_0.7.2.tar.gz
eyetools_0.7.2.tar.gz(r-4.5-noble)eyetools_0.7.2.tar.gz(r-4.4-noble)
eyetools_0.7.2.tgz(r-4.4-emscripten)eyetools_0.7.2.tgz(r-4.3-emscripten)
eyetools.pdf |eyetools.html✨
eyetools/json (API)
NEWS

# Install 'eyetools' in R:
install.packages('eyetools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tombeesley/eyetools/issues

Datasets:
  • HCL - Example dataset from that contains binocular eye data from two participants from a simple contingency learning task (the data are from Beesley, Nguyen, Pearson, & Le Pelley, 2015). In this task there are two stimuli that appear simultaneously on each trial (to the left and right of the screen). Participants look at these cues and then make a decision by selecting an "outcome response" button.
  • HCL_AOIs - Example AOIs for use with HCL
  • HCL_behavioural - Example dataset of behavioural data to complement dataset HCL.

2.70 score 9 scripts 14 exports 45 dependencies

Last updated 2 days agofrom:b92e12767a. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-linuxOKOct 29 2024

Exports:AOI_seqAOI_timecombine_eyescompare_algorithmsconditional_transformdist_to_visual_anglefixation_dispersionfixation_VTIhdf5_to_csvinterpolateplot_seqplot_spatialsaccade_VTIsmoother

Dependencies:bitbit64clicolorspacecpp11curlfansifarverggforceggplot2gluegtablehdf5risobandlabelinglatticelifecyclemagickmagrittrMASSMatrixmgcvmunsellnlmepbapplypillarpkgconfigpolyclipR6RColorBrewerRcppRcppArmadilloRcppEigenrdistrlangscalessystemfontstibbletidyselecttweenrutf8vctrsviridisLitewithrzoo

An introduction to eyetools

Matthew Ivory, Tom Beesley

Rendered fromeyetools.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2024-10-28
Started: 2024-10-28