Learn R Programming

MotilityLab (version 0.2-5)

Quantitative Analysis of Motion

Description

Statistics to quantify tracks of moving things (x-y-z-t data), such as cells, bacteria or animals. Available measures include mean square displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension.

Copy Link

Version

Install

install.packages('MotilityLab')

Monthly Downloads

30

Version

0.2-5

License

GPL-2

Maintainer

Johannes Textor

Last Published

November 30th, 2016

Functions in MotilityLab (0.2-5)

Simulate an Uncorrelated Random Walk

Compute a Measure on a Track in a Staggered Fashion

aggregate.tracks

Compute Summary Statistics of Subtracks

as.tracks.data.frame

Convert from Data Frame to Tracks

as.data.frame.tracks

Convert Tracks to Data Frame

beaucheminTrack

Simulate a 3D Cell Track Using the Beauchemin Model

Convert from Tracks to List

Bounding Box of a Tracks Object

Two-Photon Data: B Cells in a Lymph Node

normalizeToDuration

Normalize a Measure to Track Duration

Plot Tracks in 3D

Test Unbiasedness of Motion

Two-Photon Data: Neutrophils in an Infected Lung

interpolateTrack

Interpolate Track Positions

Plot Tracks in 2D

normalizeTracks

Normalize Tracks

plotTrackMeasures

Bivariate Scatterplot of Track Measures

Length of Longest Track

Generate Tracks by Simulation

Process Tracks Containing Gaps

Select Tracks by Measure Values

read.tracks.csv

Read Tracks from Text File

Staggered Version of a Function

projectDimensions

Extract Spatial Dimensions

Get Track Prefixes

Split Track into Multiple Tracks

Sort Track Positions by Time

Subsample Track by Constant Factor

Compute Time Step of Tracks

Two-Photon Data: T Cells in a Lymph Node

Decompose Track(s) into Subtracks

Create Track Object from Single Track