R: A Unified Pipeline for Pupillometry Data

# A Unified Pipeline for Pupillometry Data

## Documentation for package ‘PupillometryR’ version 0.0.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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