wrapTrack

Makes a <code>tracks</code> object containing the given track.

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>.

Johannes Textor

celltrackR

Motion Trajectory Analysis

Katharina Dannenberg

Jeffrey Berry

Gerhard Burger

Annie Liu

Mark Miller

Inge Wortel

wrapTrack function

<dl><dt>x</dt>
<dd>the input track.</dd></dl>

Arguments

Create Track Object from Single Track — wrapTrack

<dl>

<dt>x</dt>
<dd>the input track.</dd>

</dl>

wrapTrack: Create Track Object from Single Track

Description

Usage

Value

Arguments