pathviewr: Wrangle, Analyze, and Visualize Animal Movement Data

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: 1.0.1
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 (≥ 3.3.0), tidyselect (≥ 1.1.0), cowplot
Suggests: knitr, rmarkdown, testthat, covr
Published: 2021-05-06
Author: Vikram B. Baliga ORCID iD [aut, cre], Melissa S. Armstrong ORCID iD [aut], Eric R. Press ORCID iD [aut], Anne-Sophie Bonnet-Lebrun [rev], Marco Sciaini [rev]
Maintainer: Vikram B. Baliga <vbaliga87 at>
License: GPL-3
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_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pathviewr_1.0.1.tgz, r-release (x86_64): pathviewr_1.0.1.tgz, r-oldrel: pathviewr_1.0.1.tgz


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