NA_summary              Check missing data
PupilPre                PupilPre: Preprocessing Pupil Size Data.
Pupildat                This is a sample pupil size dataset included in
                        the package
Pupilex1                This is an example dataset to illustrate
                        certain functionality
Pupilex2                This is an example dataset to illustrate
                        certain functionality
Pupilex3                This is an example dataset to illustrate
                        certain functionality
Pupilex4                This is an example dataset to illustrate
                        certain functionality
Pupilex5                This is an example dataset to illustrate
                        certain functionality
Pupilex6                This is an example dataset to illustrate
                        certain functionality
Pupilex7                This is an example dataset to illustrate
                        certain functionality
apply_butter            Applies a Butterworth filter to each event.
apply_cleanup_change    Applies user-selected changes to auto cleanup
apply_user_cleanup      Applies manual cleanup to the data
baseline                Baseline correct the data
blink_summary           Check blinks
butter_filter_app       Plots the effect of Butterworth filtering by
                        event.
check_baseline          Check baseline window for missing data
clean_artifact          Automatically clean artifacts.
clean_blink             Automatically clean Eyelink marked blinks.
compare_summary         A utility function to compare pupil size data
                        before and after applying the cleanup
downsample              Downsample the data
interpolate_NAs         Interpolation for missing data.
plot_compare_app        Plots comparison of Pupil and Pupil_Previous by
                        event.
plot_events             Plot each event within a group to a directory
plot_summary_app        Plots summary of subject or item.
ppl_check_eye_recording
                        Check which eyes were recorded during the
                        experiment
ppl_plot_avg            Plots average Pupil.
ppl_plot_avg_cdiff      Plots average difference between two
                        conditions.
ppl_plot_avg_contour    Plots average contour surface of pupil data.
ppl_prep_data           Check the classes of specific columns and
                        re-assigns as necessary.
ppl_rm_extra_DVcols     Checks for and removes unnecessary DV output
                        columns.
ppl_select_recorded_eye
                        Select the eye used during recording
recode_off_screen       Check for samples off-screen and marks as NA.
rm_sparse_events        Removes events with excessive missing data
trim_filtered           Trim the beginning and end of filtered events.
user_cleanup_app        Interactive app for manually cleaning pupil
                        data.
verify_cleanup_app      Interactive app for verifying auto cleanup.
