Tools to import, clean, and visualize movement data, particularly from motion capture systems such as Optitrack's 'Motive', the Straw Lab's 'Flydra', or from other sources. We provide functions to remove artifacts, standardize tunnel position and tunnel axes, select a region of interest, isolate specific trajectories, fill gaps in trajectory data, and calculate 3D and per-axis velocity. For experiments of visual guidance, we also provide functions that use subject position to estimate perception of visual stimuli.
Version: 1.1.8 Imports: R.matlab, data.table (≥ 1.12.2), magrittr (≥ 1.5), dplyr (≥ 1.0.0), stringr (≥ 1.4.0), tibble (≥ 3.0.1), tidyr (≥ 1.1.0), fANCOVA, purrr (≥ 0.3.3), ggplot2 (≥ 3.4.0), tidyselect (≥ 1.1.0), cowplot, lubridate Suggests: knitr, rmarkdown, testthat, anomalize, covr Published: 2025-06-15 DOI: 10.32614/CRAN.package.pathviewr Author: Vikram B. Baliga [aut, cre], Melissa S. Armstrong [aut], Eric R. Press [aut], Anne-Sophie Bonnet-Lebrun [rev], Marco Sciaini [rev] Maintainer: Vikram B. Baliga <vbaliga87 at gmail.com> BugReports: https://github.com/ropensci/pathviewr/issues/ License: GPL-3 URL: https://github.com/ropensci/pathviewr/, https://docs.ropensci.org/pathviewr/ NeedsCompilation: no Citation: pathviewr citation info Materials: README NEWS CRAN checks: pathviewr results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=pathviewr to link to this page.
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