celltrackR: Motion Trajectory Analysis

Provides methodology to analyze cells that move in a two- or three-dimensional space. Available measures include displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension. Measures can be applied to entire tracks, steps, or subtracks with varying length. While the methodology has been developed for cell trajectory analysis, it is applicable to anything that moves including animals, people, or vehicles. Some of the methodology implemented in this packages was described by: Beauchemin, Dixit, and Perelson (2007) <doi:10.4049/jimmunol.178.9.5505>, Beltman, Maree, and de Boer (2009) <doi:10.1038/nri2638>, Gneiting and Schlather (2004) <doi:10.1137/S0036144501394387>, Mokhtari, Mech, Zitzmann, Hasenberg, Gunzer, and Figge (2013) <doi:10.1371/journal.pone.0080808>, Moreau, Lemaitre, Terriac, Azar, Piel, Lennon-Dumenil, and Bousso (2012) <doi:10.1016/j.immuni.2012.05.014>, Textor, Peixoto, Henrickson, Sinn, von Andrian, and Westermann (2011) <doi:10.1073/pnas.1102288108>, Textor, Sinn, and de Boer (2013) <doi:10.1186/1471-2105-14-S6-S10>, Textor, Henrickson, Mandl, von Andrian, Westermann, de Boer, and Beltman (2014) <doi:10.1371/journal.pcbi.1003752>.

Version: 0.3.1
Depends: R (≥ 3.4.0)
Imports: stats, grDevices, graphics, utils, ellipse
Suggests: pracma, scatterplot3d, fractaldim, testthat, wordspace, knitr, rmarkdown, uwot, dendextend, ggplot2, ggbeeswarm, gridExtra
Published: 2020-03-31
Author: Johannes Textor [aut, cre], Katharina Dannenberg [aut], Jeffrey Berry [aut], Gerhard Burger [aut], Inge Wortel [aut]
Maintainer: Johannes Textor <johannes.textor at gmx.de>
License: GPL-2
URL: http://www.motilitylab.net
NeedsCompilation: no
Citation: celltrackR citation info
CRAN checks: celltrackR results

Downloads:

Reference manual: celltrackR.pdf
Vignettes: Track Analysis Methods
Clustering
Quality Control and Preprocessing
Reading, Converting, and Filtering Tracking Data
Simulating Tracks
Package source: celltrackR_0.3.1.tar.gz
Windows binaries: r-prerelease: celltrackR_0.3.1.zip, r-release: celltrackR_0.3.1.zip, r-oldrel: celltrackR_0.3.1.zip
macOS binaries: r-prerelease: celltrackR_0.3.1.tgz, r-release: celltrackR_0.3.1.tgz, r-oldrel: not available

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