timePoints

Return a vector of all the timepoints t found in any of the matrices in the
tracks object.

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) <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

Inge Wortel

timePoints function

<dl><dt>X</dt>
<dd>a tracks object.</dd></dl>

Arguments

Find All Unique Time Points in a Track Dataset — timePoints

<dl>

<dt>X</dt>
<dd>a tracks object.</dd>

</dl>

timePoints: Find All Unique Time Points in a Track Dataset

Description

Usage

Value

Arguments

Examples