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Process and Analyze Mouse-Tracking Data
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PascalKieslich/mousetrap
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Mouse-tracking, the analysis of mouse movements in computerizedexperiments, is a method that is becoming increasingly popular in thecognitive sciences. Themousetrap
package offers functions forimporting, preprocessing, analyzing, aggregating, and visualizingmouse-tracking data.
Themousetrap
package is developed by Pascal Kieslich, Dirk Wulff,Felix Henninger, and Jonas Haslbeck. It is published under the GNUGeneral Public License (version 3).
An overview of the functions in this package can be foundonline.It can also be accessed from within R using?mousetrap
once thepackage has been loaded. Please seenews for a summary ofchanges in the package. Questions about usingmousetrap
can be askedin theforum.
Themousetrap
package offers functions for importing mouse-trackingdata in different formats and from various sources. One option tocollect mouse-tracking data is by using the open-source graphicalexperiment builderOpenSesame in combinationwith themousetrap-osplugin.
The current stable version is available on CRAN and can be installed viainstall.packages("mousetrap")
.
To install the latest development version from GitHub, you need thedevtools
package . The development version can be installed viadevtools::install_github("pascalkieslich/mousetrap@master")
.
Questions about usingmousetrap
can be asked in theforum.
If you use themousetrap
package in your published research, we kindlyask that you cite the associated preprint:
Wulff, D. U.*, Kieslich, P. J.*, Henninger, F., Haslbeck, J. M. B., &Schulte-Mecklenbeck, M. (2023).Movement tracking of psychologicalprocesses: A tutorial using mousetrap. PsyArXiv.https://doi.org/10.31234/osf.io/v685r
We thank Johanna Hepp for helpful comments on the documentation of thispackage and Monika Wiegelmann for testing a development version. Thiswork was supported by the University of Mannheim’s Graduate School ofEconomic and Social Sciences, which is funded by the German ResearchFoundation.
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Process and Analyze Mouse-Tracking Data