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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.3.1 by Johannes Textor, a year ago

Browse source code at

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