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>.

Package details

AuthorRoland Pfister [aut, cre, cph] (<https://orcid.org/0000-0002-4429-1052>), Solveig Tonn [aut] (<https://orcid.org/0000-0001-5254-8391>), Moritz Schaaf [aut] (<https://orcid.org/0000-0002-9959-2928>), Robert Wirth [aut] (<https://orcid.org/0000-0001-8446-1880>)
MaintainerRoland Pfister <mail@roland-pfister.net>
LicenseGPL (>= 3)
Version0.2.1
URL https://github.com/mc-schaaf/mousetRajectory https://mc-schaaf.github.io/mousetRajectory/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mousetRajectory")

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mousetRajectory documentation built on Sept. 8, 2023, 5:06 p.m.