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.
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
package?mousetrap once the package has been installed. Please see news for a summary of changes in the package.
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
To install the latest development version from GitHub, you need the
devtools package . The development version can be installed via
If you would like to receive information about new releases, you can add your email to the mailing list.
If you use the
mousetrap package in your published research, we kindly ask that you cite it as follows:
Kieslich, P. J., Wulff, D. U., Henninger, F., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2016). Mousetrap: An R package for processing and analyzing mouse-tracking data. https://doi.org/10.5281/zenodo.596640
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.