mousetRajectory: Mouse Trajectory Analyses for Behavioural Scientists

Helping psychologists and other behavioural scientists to analyze mouse movement (and other 2-D trajectory) data. Bundles together several functions that compute spatial measures (e.g., maximum absolute deviation, area under the curve, sample entropy) or provide a shorthand for procedures that are frequently used (e.g., time normalization, linear interpolation, extracting initiation and movement times). For more information on these dependent measures, see Wirth et al. (2020) <doi:10.3758/s13428-020-01409-0>.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: lifecycle, methods, signal (≥ 0.7), utils
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0), V8
Published: 2023-09-08
Author: Roland Pfister ORCID iD [aut, cre, cph], Solveig Tonn ORCID iD [aut], Moritz Schaaf ORCID iD [aut], Robert Wirth ORCID iD [aut]
Maintainer: Roland Pfister <mail at>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Citation: mousetRajectory citation info
Materials: README NEWS
CRAN checks: mousetRajectory results


Reference manual: mousetRajectory.pdf
Vignettes: mousetRajectory


Package source: mousetRajectory_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mousetRajectory_0.2.1.tgz, r-oldrel (arm64): mousetRajectory_0.2.1.tgz, r-release (x86_64): mousetRajectory_0.2.1.tgz, r-oldrel (x86_64): mousetRajectory_0.2.1.tgz


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