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mousetrap  

Process and Analyze Mouse-Tracking Data
View on CRAN: Click here


Download and install mousetrap package within the R console
Install from CRAN:
install.packages("mousetrap")

Install from Github:
library("remotes")
install_github("cran/mousetrap")

Install by package version:
library("remotes")
install_version("mousetrap", "3.2.3")



Attach the package and use:
library("mousetrap")
Maintained by
Pascal J. Kieslich
[Scholar Profile | Author Map]
First Published: 2016-03-19
Latest Update: 2024-01-19
Description:
Mouse-tracking, the analysis of mouse movements in computerized experiments, is a method that is becoming increasingly popular in the cognitive sciences. The mousetrap package offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data. An introduction into mouse-tracking analyses using mousetrap can be found in Wulff, Kieslich, Henninger, Haslbeck, & Schulte-Mecklenbeck (2023) (preprint: ).
How to cite:
Pascal J. Kieslich (2016). mousetrap: Process and Analyze Mouse-Tracking Data. R package version 3.2.3, https://cran.r-project.org/web/packages/mousetrap. Accessed 10 May. 2025.
Previous versions and publish date:
1.0.0 (2016-03-19 11:14), 1.1.0 (2016-06-09 10:44), 1.2.0 (2016-07-09 10:47), 2.0.0 (2016-10-25 23:46), 3.0.0 (2017-02-11 00:45), 3.1.0 (2017-05-20 09:11), 3.1.1 (2018-07-06 21:50), 3.1.2 (2019-02-02 06:40), 3.1.3 (2019-10-04 18:10), 3.1.4 (2019-12-05 15:40), 3.1.5 (2020-08-27 00:30), 3.2.0 (2021-06-05 08:50), 3.2.1 (2022-01-03 11:40), 3.2.2 (2023-10-23 19:00)
Other packages that cited mousetrap R package
View mousetrap citation profile
Other R packages that mousetrap depends, imports, suggests or enhances
Complete documentation for mousetrap
Functions, R codes and Examples using the mousetrap R package
Some associated functions: KH2017 . KH2017_raw . bezier . bimodality_coefficient . mousetrap-package . mt_add_trajectory . mt_add_variables . mt_aggregate . mt_aggregate_per_subject . mt_align . mt_align_start . mt_align_start_end . mt_angles . mt_animate . mt_average . mt_bind . mt_check_bimodality . mt_check_resolution . mt_cluster . mt_cluster_k . mt_count . mt_derivatives . mt_deviations . mt_diffmap . mt_distmat . mt_example . mt_example_raw . mt_exclude_finish . mt_exclude_initiation . mt_export_long . mt_heatmap . mt_heatmap_ggplot . mt_heatmap_raw . mt_import_long . mt_import_mousetrap . mt_import_wide . mt_length_normalize . mt_map . mt_measures . mt_plot . mt_plot_add_rect . mt_plot_per_trajectory . mt_plot_riverbed . mt_prototypes . mt_qeffect . mt_remap_symmetric . mt_resample . mt_reshape . mt_sample_entropy . mt_scale_trajectories . mt_spatialize . mt_standardize . mt_subset . mt_time_normalize . print.mt_heatmap_raw . read_mt . reexports . scale_within . 
Some associated R codes: RcppExports.R . add.R . aggregate.R . align.R . angles.R . animate.R . bezier.R . bimodality.R . check.R . cluster.R . cluster_k.R . data.R . derivatives.R . deviations.R . distmat.R . dynlib.R . export.R . heatmap.R . import.R . map.R . measures.R . mousetrap-package.R . preprocess.R . quantileeffect.R . read_mt.R . reshape.R . riverbed.R . sample_entropy.R . spatialize.R . standardize.R . startupmessage.R . utils.R . visualize.R .  Full mousetrap package functions and examples
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