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.