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.

Documentation

Manual: mousetrap.pdf
Vignette: None available.

Maintainer: Pascal J. Kieslich <kieslich at psychologie.uni-mannheim.de>

Author(s): Pascal J. Kieslich*, Dirk U. Wulff*, Felix Henninger*, Jonas M. B. Haslbeck*, Sarah Brockhaus*

Install package and any missing dependencies by running this line in your R console:

install.packages("mousetrap")

Depends R (>= 3.1.0)
Imports utils, stats, pracma, dplyr(>=0.5.0), tidyr, magrittr, graphics, grDevices, ggplot2, scales, psych(>=1.2.4), Rcpp(>=0.11.4), diptest, RColorBrewer, cstab, fastcluster
Suggests readbulk, testthat
Enhances
Linking to Rcpp
Reverse
depends
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imports
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suggests
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enhances
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linking to

Package mousetrap
Materials
URL https://github.com/pascalkieslich/mousetrap
Task Views
Version 3.0.0
Published 2017-02-11
License GPL-3
BugReports https://github.com/pascalkieslich/mousetrap/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks mousetrap check results
Package source mousetrap_3.0.0.tar.gz