KH2017                  Mouse-tracking dataset from Kieslich &
                        Henninger (2017)
KH2017_raw              Raw mouse-tracking dataset from Kieslich &
                        Henninger (2017)
bezier                  Create Bezier-curves using the Bernstein
                        approximation.
bimodality_coefficient
                        Calculate bimodality coefficient.
mousetrap               Process and analyze mouse-tracking data
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_initiation   Exclude initial phase without mouse movement.
mt_export_long          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_map                  Map trajectories to prototypes.
mt_measures             Calculate mouse-tracking measures.
mt_plot                 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_space_normalize      Space normalize trajectories.
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
read_mt                 Read MouseTracker raw data.
scale_within            Scale and center variables within the levels of
                        another variable.
