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.
The mousetrap package is developed by Pascal Kieslich, Dirk Wulff, Felix Henninger, and Jonas Haslbeck. It is published under the GNU General Public License (version 3).
An overview of the functions in this package can be found online. It can also be accessed from within R using ?mousetrap once the package has been loaded. Please see news for a summary of changes in the package. Questions about using mousetrap can be asked in the forum.
The mousetrap package offers functions for importing mouse-tracking data in different formats and from various sources. One option to collect mouse-tracking data is by using the open-source graphical experiment builder OpenSesame in combination with the mousetrap-os plugin.
The current stable version is available on CRAN and can be installed via install.packages("mousetrap").
To install the latest development version from GitHub, you need the devtools package . The development version can be installed via devtools::install_github("pascalkieslich/mousetrap@master").
Questions about using mousetrap can be asked in the forum.
If you use the mousetrap package in your published research, we kindly ask that you cite the associated preprint:
Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2021). Movement tracking of cognitive processes: A tutorial using mousetrap. PsyArXiv. https://doi.org/10.31234/osf.io/v685r
We thank Johanna Hepp for helpful comments on the documentation of this package and Monika Wiegelmann for testing a development version. This work was supported by the University of Mannheim’s Graduate School of Economic and Social Sciences, which is funded by the German Research Foundation.