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: | 1.1.7 |
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: | 2023-03-08 |
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 |
Reference manual: | pathviewr.pdf |
Vignettes: |
Basics of data import and cleaning in pathviewr Managing frame gaps with pathviewr Estimating visual perceptions from tracking data |
Package source: | pathviewr_1.1.7.tar.gz |
Windows binaries: | r-devel: pathviewr_1.1.7.zip, r-release: pathviewr_1.1.7.zip, r-oldrel: pathviewr_1.1.7.zip |
macOS binaries: | r-release (arm64): pathviewr_1.1.7.tgz, r-oldrel (arm64): pathviewr_1.1.7.tgz, r-release (x86_64): pathviewr_1.1.7.tgz, r-oldrel (x86_64): pathviewr_1.1.7.tgz |
Old sources: | pathviewr archive |
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