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) , Beltman, Maree, and de Boer (2009) , Gneiting and Schlather (2004) , Mokhtari, Mech, Zitzmann, Hasenberg, Gunzer, and Figge (2013) , Moreau, Lemaitre, Terriac, Azar, Piel, Lennon-Dumenil, and Bousso (2012) , Textor, Peixoto, Henrickson, Sinn, von Andrian, and Westermann (2011) , Textor, Sinn, and de Boer (2013) , Textor, Henrickson, Mandl, von Andrian, Westermann, de Boer, and Beltman (2014) .


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install.packages("celltrackR")

0.3.1 by Johannes Textor, 4 months ago


http://www.motilitylab.net


Browse source code at https://github.com/cran/celltrackR


Authors: Johannes Textor [aut, cre] , Katharina Dannenberg [aut] , Jeffrey Berry [aut] , Gerhard Burger [aut] , Inge Wortel [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports stats, grDevices, graphics, utils, ellipse

Suggests pracma, scatterplot3d, fractaldim, testthat, wordspace, knitr, rmarkdown, uwot, dendextend, ggplot2, ggbeeswarm, gridExtra


See at CRAN