celltrackR: Motion Trajectory Analysis

Methods for analyzing (cell) motion in two or three dimensions. 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:	1.2.1
Depends:	R (≥ 3.5.0)
Imports:	stats, grDevices, graphics, utils, ellipse, pracma, methods
Suggests:	scatterplot3d, fractaldim, testthat, wordspace, knitr, rmarkdown, RSpectra, uwot, dendextend, ggplot2, ggbeeswarm, gridExtra, mvtnorm, jsonlite, httr, curl
Published:	2024-08-26
DOI:	10.32614/CRAN.package.celltrackR
Author:	Johannes Textor [aut, cre], Katharina Dannenberg [aut], Jeffrey Berry [aut], Gerhard Burger [aut], Annie Liu [aut], Mark Miller [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
Materials:	NEWS
CRAN checks:	celltrackR results

Documentation:

Reference manual:	celltrackR.pdf
Vignettes:	Quality Control and Preprocessing (source, R code) Track Analysis Methods (source, R code) Clustering (source, R code) Quality Control and Preprocessing of the Datasets in the Package (source, R code) Reading, Converting, and Filtering Tracking Data (source, R code) Simulating Tracks (source, R code)

Downloads:

Package source:	celltrackR_1.2.1.tar.gz
Windows binaries:	r-devel: celltrackR_1.2.1.zip, r-release: celltrackR_1.2.1.zip, r-oldrel: celltrackR_1.2.1.zip
macOS binaries:	r-release (arm64): celltrackR_1.2.1.tgz, r-oldrel (arm64): celltrackR_1.2.1.tgz, r-release (x86_64): celltrackR_1.2.1.tgz, r-oldrel (x86_64): celltrackR_1.2.1.tgz
Old sources:	celltrackR archive

Linking:

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