Tools for Preprocessing Visual World Data

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Documentation for package ‘VWPre’ version 1.2.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

.check_for_PupilPre	Internal helper function, not intended to be called externally.
align_msg	Aligns samples to a specific message.
bin_prop	Bins the sample data and calculates proportion looks by interest area
check_all_msgs	Output all messages with timestamps
check_eye_recording	Check which eyes were recorded during the experiment
check_ia	Check the interest area IDs and labels
check_msg_time	Check the time value(s) at a specific message
check_samples_per_bin	Check the number of samples in each bin
check_samplingrate	Determine the sampling rate present in the data
check_time_series	Check the new time series
create_binomial	Creates a success/failure column for each IA based on counts.
create_time_series	Create a time series column
custom_ia	Map gaze data to newly defined interest areas
ds_options	Determine downsampling options based on current sampling rate
fasttrack	Fast-track basic preprocessing
make_pelogit_fnc	Create function for back-transforming empirical logits to proportions
mark_trackloss	Mark trackloss by blink and/or screen size
plot_avg	Plots average looks to interest areas.
plot_avg_cdiff	Plots average difference between two conditions.
plot_avg_contour	Plots average contour surface of looks to a given interest area.
plot_avg_diff	Plots average difference between looks to two interest areas.
plot_indiv_app	Plots diagnostic average plots of subjects/items.
plot_transformation_app	Plots diagnostic plots of the empirical logit transformation.
plot_var_app	Plots diagnostic plots of subject/item variance.
prep_data	Check the classes of specific columns and re-assigns as necessary.
recode_ia	Recode interest area IDs and/or interest area labels
relabel_na	Relabel samples containing 'NA' as outside any interest area
rename_columns	Rename default column names for interest areas.
rm_extra_DVcols	Checks for and removes unnecessary DV output columns.
rm_trackloss_events	Removes events with excessive trackloss
select_recorded_eye	Select the eye used during recording
transform_to_elogit	Transforms proportion looks to empirical logits.
VWdat	This is a sample eye-tracking dataset included in the package
VWPre	VWPre: Tools for Preprocessing Visual World Data.