Mouse Trajectory Analyses for Behavioural Scientists R package mousetRajectory version 0.2.1 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>. Software Depends: R (>= 3.5.0) Imports: lifecycle, methods, signal (>= 0.7), utils Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), V8 Roland Pfister <mail@roland-pfister.net> Comprehensive R Archive Network (CRAN) Roland Pfister [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-4429-1052>), Solveig Tonn [aut] (ORCID: <https://orcid.org/0000-0001-5254-8391>), Moritz Schaaf [aut] (ORCID: <https://orcid.org/0000-0002-9959-2928>), Robert Wirth [aut] (ORCID: <https://orcid.org/0000-0001-8446-1880>) GPL (>= 3) 2023-09-08 application/tgz https://CRAN.R-project.org/package=mousetRajectory doi:10.32614/CRAN.package.mousetRajectory en-US