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A set of functions for organising and analysing datasets from experiments run using 'Eyelink' eye-trackers. Organising functions help to clean and prepare eye-tracking datasets for analysis, and mark up key events such as display changes and responses made by participants. Analysing functions help to create means for a wide range of standard measures (such as 'mean fixation durations'), which can then be fed into the appropriate statistical analyses and graphing packages as necessary.
| Version: | 1.0.1 |
| Depends: | data.table, stringr, plyr, R (≥ 3.5) |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-03-29 |
| DOI: | 10.32614/CRAN.package.eyeTrackR |
| Author: | Hayward Godwin [aut, cre], Alexander Muhl-Richardson [ctb] |
| Maintainer: | Hayward Godwin <hg102 at soton.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | eyeTrackR results |
| Reference manual: | eyeTrackR.pdf |
| Package source: | eyeTrackR_1.0.1.tar.gz |
| Windows binaries: | r-devel: eyeTrackR_1.0.1.zip, r-release: eyeTrackR_1.0.1.zip, r-oldrel: eyeTrackR_1.0.1.zip |
| macOS binaries: | r-release (arm64): eyeTrackR_1.0.1.tgz, r-oldrel (arm64): eyeTrackR_1.0.1.tgz, r-release (x86_64): eyeTrackR_1.0.1.tgz, r-oldrel (x86_64): eyeTrackR_1.0.1.tgz |
| Old sources: | eyeTrackR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.