Package: eyetrackingR 0.2.1
eyetrackingR: Eye-Tracking Data Analysis
Addresses 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. For references to the approach see Mirman, Dixon & Magnuson (2008) <doi:10.1016/j.jml.2007.11.006>, and Barr (2008) <doi:10.1016/j.jml.2007.09.002>.
Authors:
eyetrackingR_0.2.1.tar.gz
eyetrackingR_0.2.1.zip(r-4.5)eyetrackingR_0.2.1.zip(r-4.4)eyetrackingR_0.2.1.zip(r-4.3)
eyetrackingR_0.2.1.tgz(r-4.4-any)eyetrackingR_0.2.1.tgz(r-4.3-any)
eyetrackingR_0.2.1.tar.gz(r-4.5-noble)eyetrackingR_0.2.1.tar.gz(r-4.4-noble)
eyetrackingR_0.2.1.tgz(r-4.4-emscripten)eyetrackingR_0.2.1.tgz(r-4.3-emscripten)
eyetrackingR.pdf |eyetrackingR.html✨
eyetrackingR/json (API)
NEWS
# Install 'eyetrackingR' in R: |
install.packages('eyetrackingR', repos = c('https://samhforbes.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/samhforbes/eyetrackingr/issues
- word_recognition - Data collected in an infant eyetracking study
Last updated 1 years agofrom:9b6443585d. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | NOTE | Nov 01 2024 |
R-4.5-linux | NOTE | Nov 01 2024 |
R-4.4-win | NOTE | Nov 01 2024 |
R-4.4-mac | NOTE | Nov 01 2024 |
R-4.3-win | NOTE | Nov 01 2024 |
R-4.3-mac | NOTE | Nov 01 2024 |
Exports:add_aoianalyze_boot_splinesanalyze_time_binsanalyze_time_clustersclean_by_tracklossdescribe_dataget_time_clustersmake_boot_splines_datamake_eyetrackingr_datamake_onset_datamake_switch_datamake_time_cluster_datamake_time_sequence_datamake_time_window_datareclasssimulate_eyetrackingr_datasubset_by_windowtrackloss_analysis
Dependencies:backportsbroombroom.mixedclicodacodetoolscolorspacecpp11digestdplyrfansifarverforcatsfurrrfuturegenericsggplot2globalsgluegtableisobandlabelinglatticelazyevallifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo
Estimating time windows of divergence
Rendered fromdivergence_vignette.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2023-09-14
Started: 2015-10-07
Performing a growth curve analysis using eyetrackingR
Rendered fromgrowth_curve_analysis_vignette.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2023-09-14
Started: 2015-10-07
Performing a window analysis using eyetrackingR
Rendered fromwindow_analysis_vignette.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2023-09-14
Started: 2015-10-07
Performing an onset-contingent analysis using eyetrackingR
Rendered fromonset_contingent_analysis_vignette.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2023-09-14
Started: 2015-10-07
Preparing your data for use with eyetrackingR
Rendered frompreparing_your_data_vignette.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2023-09-14
Started: 2015-10-07