A set of tools that address tasks along the pipeline from raw data to analysis and visualization for eye-tracking data. Offers several popular types of analyses, including linear and growth curve time analyses, onset-contingent reaction time analyses, as well as several non-parametric bootstrapping approaches.

Maintainer: Jacob Dink <jacobwdink at gmail.com>

Author(s): Jacob Dink*, Brock Ferguson*

Install package and any missing dependencies by running this line in your R console:

install.packages("eyetrackingR")

Depends R (>= 3.2.0)
Imports broom(>=0.3.7), dplyr(>=0.4.3), ggplot2(>=2.0), lazyeval(>=0.1.10), zoo(>=1.7-12), tidyr(>=0.3.1)
Suggests pbapply, knitr, lme4(>=1.1-10), Matrix, testthat, rmarkdown, doMC, foreach
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Package eyetrackingR
Materials
URL http://eyetracking-r.com
Task Views
Version 0.1.6
Published 2016-03-17
License MIT + file LICENSE
BugReports https://github.com/jwdink/eyetrackingR/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks eyetrackingR check results
Package source eyetrackingR_0.1.6.tar.gz