Function reference • Pupilla

All functions

animate_manifold(): Animate a 3D scatterplot (based on plot3D) through gifski

check_all_series(): Convenience function to check series across IDs and Trials, and save a plot in the current path

check_series(): Plots two time series against each other

consolidate_signal(): Consolidate pupil data according to different heuristics

copy_variable(): copy a variable from one data.frame to another of different length given ID and Trial constraints

decode_signal(): Highlights and test the time-course of effects through crossvalidation

decode_signal_g(): Highlights and test the time-course of effects through crossvalidation

detect_change(): Detect a change in a column, and returns an incremental counter

downsample_time(): Recode a Time variable to a different granularity

interpolate(): Linearly interpolate signal provided quality checks are met, else only returns NAs

plot_fingerprints(): Plot all (three) fingerprints of reduced time-series

plot_loadings(): Plot loadings of a reduced time-series

plot_manifold(): Plot a 3D scatterplot (based on plot3D) based on a reduce_rPCA object

pp_options(): Set or get options for Pupilla's preprocessing parameters

predict_feature(): Predicts features' scores from a model

pre_process(): A convenience function to preprocess pupillometry data

read_eyelink(): Reads and imports eyelink eye-tracking and behavioral data

read_TOBII(): Reads and imports TOBII eye-tracking and behavioral data

reduce_ICA(): Reduce time-series to few Independent Components

reduce_PCA(): Reduce time-series to few Principal Components

reduce_rPCA(): Reduce time-series to few (rotated) Principal Components

smooth_vector(): Smooth a time series through cubic splines

speed_clean(): Help identifying artifacts with a speed-based criterion