Preprocessing Pupil Size Data


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Documentation for package ‘PupilPre’ version 0.6.2

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PupilPre-package PupilPre: Preprocessing Pupil Size Data.
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.
NA_summary Check 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
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
PupilPre PupilPre: Preprocessing Pupil Size Data.
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.