A Unified Pipeline for Pupillometry Data

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Documentation for package ‘PupillometryR’ version 0.0.5

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

Help Pages

%||%	geom_flat_violin_HELPER1
baseline_data	Baseline pupil data to the average pupil size within a window
calculate_mean_pupil_size	Calculate a mean size across two pupils over time
calculate_missing_data	Calculate the missing data amount
clean_missing_data	Clean missing data above an acceptable threshold
create_difference_data	Create a difference data frame when dealing with a condition column with 2 levels
create_functional_data	Makes a functional data with splines from a Pupil_difference_data dataframe.
create_time_windows	Make PupillometryR dataframe into multiple time windows for easy analysis
create_window_data	Make PupillometryR dataframe into a single collapsed window for easy analysis
detect_blinks_by_column	detect blinks by a pre-existing labelled blink column that comes from the eyetracker
detect_blinks_by_size	detect blinks by a change in pupil size
detect_blinks_by_velocity	detect blinks by a change in velocity
downsample_time_data	Downsample frequency to reduce number of samples and data size
filter_data	Run a filter on the data to smooth it out.
GeomFlatViolin	geom_flat_violin_HELPER2
geom_flat_violin	ggplot Flat Violin
gfv_helper1	geom_flat_violin_HELPER1
interpolate_data	Interpolate across the gaps in data
make_pupillometryr_data	Prepare data for pre-processing in PupillometryR
mean2	Helper function mean2
plot.PupillometryR	Pre-prepared plots of PupillometryR data
plot.Pupil_difference_data	Pre-prepared plots of PupillometryR data
plot.Pupil_test_data	Pre-prepared plots of PupillometryR data
plot.Pupil_window_data	Pre-prepared plots of PupillometryR data
pupil_data	Data collected in a pupillometry study by Sylvain Sirois
regress_data	Regress one pupil against another for extra smoothing
replace_missing_data	replaces missing observations if you have some degree of incomplete observations
run_functional_t_test	Run a functional t-test on a dataframe previously fitted with b-splines.
subset_data	Subset data to provide start and finish time windows