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celltrackR  

Motion Trajectory Analysis
View on CRAN: Click here


Download and install celltrackR package within the R console
Install from CRAN:
install.packages("celltrackR")

Install from Github:
library("remotes")
install_github("cran/celltrackR")

Install by package version:
library("remotes")
install_version("celltrackR", "1.2.1")



Attach the package and use:
library("celltrackR")
Maintained by
Johannes Textor
[Scholar Profile | Author Map]
First Published: 2020-03-31
Latest Update: 2022-03-21
Description:
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) , 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) .
How to cite:
Johannes Textor (2020). celltrackR: Motion Trajectory Analysis. R package version 1.2.1, https://cran.r-project.org/web/packages/celltrackR. Accessed 30 Apr. 2025.
Previous versions and publish date:
0.3.1 (2020-03-31 12:30), 1.1.0 (2022-03-21 16:50), 1.2.0 (2024-03-26 14:50)
Other packages that cited celltrackR R package
View celltrackR citation profile
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Complete documentation for celltrackR
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