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