Function reference • eyetrackingR

All functions
`add_aoi()`	Add an area-of-interest to your dataset, based on x-y coordinates and the AOI rectangle.
`analyze_boot_splines()`	Estimate confidence intervals for bootstrapped splines data
`analyze_time_bins()`	analyze_time_bins()
`analyze_time_clusters()`	Bootstrap analysis of time-clusters.
`clean_by_trackloss()`	Clean data by removing high-trackloss trials/subjects.
`describe_data()`	Describe dataset
`eyetrackingR`	eyetrackingR: A package for cleaning, analyzing, and visualizing eye-tracking datasets
`get_time_clusters()`	Get information about the clusters in a cluster-analysis
`make_boot_splines_data()`	Bootstrap resample splines for time-series data.
`make_eyetrackingr_data()`	Convert raw data for use in eyetrackingR
`make_onset_data()`	Make onset-contingent data.
`make_switch_data()`	Summarize data into time-to-switch from initial AOI.
`make_time_cluster_data()`	Make data for cluster analysis.
`make_time_sequence_data()`	make_time_sequence_data()
`make_time_window_data()`	Make a dataset collapsing over a time-window
`plot(<bin_analysis>)`	Plot test-statistic for each time-bin in a time-series
`plot(<boot_splines_analysis>)`	Plot differences in bootstrapped-splines data
`plot(<boot_splines_data>)`	Plot bootstrapped-splines data
`plot(<cluster_analysis>)`	Visualize the results of a cluster analysis.
`plot(<eyetrackingR_data_summary>)`	Plot some summarized data from eyetrackingR
`plot(<onset_data>)`	Plot onset-contingent data
`plot(<switch_data>)`	Plot mean switch-from-initial-AOI times.
`plot(<time_cluster_data>)`	Plot test-statistic for each time-bin in a time-series, highlight clusters. Plot time_cluster_data, highlights clusters of above-threshold time-bins.
`plot(<time_sequence_data>)`	Plot time-sequence data
`plot(<time_window_data>)`	Plot a time-window dataset
`print(<cluster_analysis>)`	Print Method for Cluster Analysis
`reclass()`	Add the original class/attributes back onto result (usually of dplyr operation)
`simulate_eyetrackingr_data()`	Simulate an eyetrackingR dataset
`subset_by_window()`	Extract a subset of the dataset within a time-window in each trial.
`summary(<bin_analysis>)`	Summary Method for Time-bin Analysis
`summary(<boot_splines_analysis>)`	Summary Method for Bootstrapped Splines Analysis
`summary(<cluster_analysis>)`	Summary Method for Cluster Analysis
`summary(<time_cluster_data>)`	Summary Method for Cluster Analysis
`trackloss_analysis()`	Analyze trackloss.
`word_recognition`	Data collected in an infant eyetracking study

Reference

All functions