Gaze data from the Visual World Paradigm requires significant preprocessing prior to plotting and analyzing the data. This package provides functions for preparing visual world eye-tracking data for statistical analysis and plotting. It can prepare data for linear analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM). Additionally, it contains various plotting functions for creating grand average and conditional average plots. See the vignette for samples of the functionality. Currently, the functions in this package are designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer. While we would like to add functionality for data collected with other systems in the future, the current package is considered to be feature-complete; further updates will mainly entail maintenance and the addition of minor functionality.
| Version: | 1.2.3 |
| Depends: | R (≥ 3.5.0), dplyr (≥ 0.7.0) |
| Imports: | rlang (≥ 0.1.1), ggplot2 (≥ 2.2.0), mgcv (≥ 1.8-16), shiny (≥ 0.14.2), tidyr (≥ 0.6.0), stats (≥ 3.3.2) |
| Suggests: | knitr, rmarkdown, gridExtra, itsadug |
| Published: | 2020-03-10 |
| Author: | Vincent Porretta [aut, cre], Aki-Juhani Kyröläinen [aut], Jacolien van Rij [ctb], Juhani Järvikivi [ctb] |
| Maintainer: | Vincent Porretta <vincentporretta at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | VWPre citation info |
| Materials: | README NEWS |
| CRAN checks: | VWPre results |
| Reference manual: | VWPre.pdf |
| Vignettes: |
Basic VWP Preprocessing Relabeling or Defining Interest Areas Aligning Data to a Specific Sample Message Plotting VWP Data Processed with VWPre |
| Package source: | VWPre_1.2.3.tar.gz |
| Windows binaries: | r-devel: VWPre_1.2.3.zip, r-release: VWPre_1.2.3.zip, r-oldrel: VWPre_1.2.3.zip |
| macOS binaries: | r-release: VWPre_1.2.3.tgz, r-oldrel: VWPre_1.2.3.tgz |
| Old sources: | VWPre archive |
| Reverse depends: | PupilPre |
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