Function reference • mousetrap

Overview The mousetrap package provides functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data. A structured overview is given in the general package documentation which can be accessed through one of the following links.
`mousetrap` `mousetrap-package`	Process and analyze mouse-tracking data
Mousetrap functions Below you find all mousetrap functions in alphabetical order.
`mt_add_trajectory()`	Add new trajectory to trajectory array.
`mt_add_variables()`	Add new variables to trajectory array.
`mt_aggregate()`	Aggregate mouse-tracking data per condition.
`mt_aggregate_per_subject()`	Aggregate mouse-tracking data per condition separately for each subject.
`mt_align()`	Align trajectories.
`mt_align_start()`	Align start position of trajectories.
`mt_align_start_end()`	Align start and end position of trajectories.
`mt_angles()`	Calculate movement angles.
`mt_animate()`	Create gif trajectory animation.
`mt_average()`	Average trajectories across intervals.
`mt_bind()`	Join two trajectory arrays
`mt_check_bimodality()`	Assess bimodality of mouse-tracking measure distributions.
`mt_check_resolution()`	Check logging resolution by looking at timestamp differences.
`mt_cluster()`	Cluster trajectories.
`mt_cluster_k()`	Estimate optimal number of clusters.
`mt_count()`	Count number of observations.
`mt_derivatives()`	Calculate distance, velocity, and acceleration.
`mt_deviations()`	Calculate deviations from idealized trajectory.
`mt_diffmap()`	Creates a difference-heatmap of two trajectory heatmap images.
`mt_distmat()`	Compute distance matrix.
`mt_example`	A mousetrap data object.
`mt_example_raw`	Raw mouse-tracking dataset for demonstrations of the mousetrap package
`mt_exclude_finish()`	Exclude phase without mouse movement at end of trial.
`mt_exclude_initiation()`	Exclude initial phase without mouse movement.
`mt_export_long()` `mt_export_wide()`	Export mouse-tracking data.
`mt_heatmap()`	Plot trajectory heatmap.
`mt_heatmap_ggplot()`	Plot trajectory heatmap using ggplot.
`mt_heatmap_raw()`	Creates high-resolution heatmap of trajectory data.
`mt_import_long()`	Import mouse-tracking data saved in long format.
`mt_import_mousetrap()`	Import mouse-tracking data recorded using the mousetrap plug-ins in OpenSesame.
`mt_import_wide()`	Import mouse-tracking data saved in wide format.
`mt_length_normalize()`	Length normalize trajectories.
`mt_map()`	Map trajectories to prototypes.
`mt_measures()`	Calculate mouse-tracking measures.
`mt_plot()` `mt_plot_aggregate()`	Plot trajectory data.
`mt_plot_add_rect()`	Add rectangles to trajectory plot.
`mt_plot_per_trajectory()`	Create PDF with separate plots per trajectory.
`mt_plot_riverbed()`	Plot density of mouse positions across time steps.
`mt_prototypes`	Mouse trajectory prototypes.
`mt_qeffect()`	Create quantile-effect plot
`mt_remap_symmetric()`	Remap mouse trajectories.
`mt_resample()`	Resample trajectories using a constant time interval.
`mt_reshape()`	General-purpose reshape and aggregation function for mousetrap data.
`mt_sample_entropy()`	Calculate sample entropy.
`mt_scale_trajectories()`	Standardize variables in mouse trajectory array.
`mt_spatialize()`	Spatialize trajectories.
`mt_standardize()`	Standardize mouse-tracking measures per level of other variables.
`mt_subset()`	Filter mousetrap data.
`mt_time_normalize()`	Time normalize trajectories.
`print(<mt_heatmap_raw>)`	Generic print for class mt_heatmap_raw
Helper functions A number of additional helper functions are provided.
`bezier()`	Create Bezier-curves using the Bernstein approximation.
`bimodality_coefficient()`	Calculate bimodality coefficient.
`scale_within()`	Scale and center variables within the levels of another variable.
`read_mt()`	Read MouseTracker raw data.
Mouse-tracking datasets Below you find all datasets included in the mousetrap package in alphabetical order.
`KH2017`	Mouse-tracking dataset from Kieslich & Henninger (2017)
`KH2017_raw`	Raw mouse-tracking dataset from Kieslich & Henninger (2017)
`mt_example`	A mousetrap data object.
`mt_example_raw`	Raw mouse-tracking dataset for demonstrations of the mousetrap package

Reference

Overview

Mousetrap functions

Helper functions

Mouse-tracking datasets