R: Process and Analyze Mouse-Tracking Data

# Process and Analyze Mouse-Tracking Data

## Documentation for package ‘mousetrap’ version 3.2.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

bezier | Create Bezier-curves using the Bernstein approximation.
bimodality_coefficient | Calculate bimodality coefficient.
KH2017 | Mouse-tracking dataset from Kieslich & Henninger (2017)
KH2017_raw | Raw mouse-tracking dataset from Kieslich & Henninger (2017)
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 | Export mouse-tracking data.
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 | Plot trajectory data.
mt_plot_add_rect | Add rectangles to trajectory plot.
mt_plot_aggregate | Plot trajectory data.
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
read_mt | Read MouseTracker raw data.
scale_within | Scale and center variables within the levels of another variable.