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
