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.
| Version: | 0.1.7 |
| Depends: | R (≥ 3.2.0), dplyr (≥ 0.7.4) |
| Imports: | broom (≥ 0.3.7), ggplot2 (≥ 2.0), lazyeval (≥ 0.1.10), zoo (≥ 1.7-12), tidyr (≥ 0.3.1), purrr (≥ 0.2.4) |
| Suggests: | pbapply, knitr, lme4 (≥ 1.1-10), Matrix, testthat, rmarkdown, doMC, foreach |
| Published: | 2018-02-14 |
| Author: | Jacob Dink [aut, cre], Brock Ferguson [aut] |
| Maintainer: | Jacob Dink <jacobwdink at gmail.com> |
| BugReports: | https://github.com/jwdink/eyetrackingR/issues |
| License: | MIT + file LICENSE |
| URL: | http://eyetracking-r.com |
| NeedsCompilation: | no |
| Citation: | eyetrackingR citation info |
| Materials: | README NEWS |
| CRAN checks: | eyetrackingR results |
| Reference manual: | eyetrackingR.pdf |
| Vignettes: |
Estimating time windows of divergence Performing a growth curve analysis Performing an onset-contingent analysis Preparing your data for eyetrackingR Performing a window analysis |
| Package source: | eyetrackingR_0.1.7.tar.gz |
| Windows binaries: | r-devel: eyetrackingR_0.1.7.zip, r-release: eyetrackingR_0.1.7.zip, r-oldrel: eyetrackingR_0.1.7.zip |
| OS X binaries: | r-release: eyetrackingR_0.1.7.tgz, r-oldrel: eyetrackingR_0.1.7.tgz |
| Old sources: | eyetrackingR archive |
Please use the canonical form https://CRAN.R-project.org/package=eyetrackingR to link to this page.