getFeatureMatrix: Obtaining A Feature Matrix

In celltrackR: Motion Trajectory Analysis

Obtaining A Feature Matrix

Description

Applies a given vector of track measures directly on a set of tracks, returning output in a matrix with a column for each measure and a row for each track. Can also return a distance matrix, which some clustering methods require.

Usage

getFeatureMatrix(tracks, measures, dist = FALSE, ...)

Arguments

tracks	the tracks that are to be analyzed.
measures	a function, or a vector of functions (see TrackMeasures). Each function is expected to return a single number given a single track.
dist	should a distance matrix rather than a feature matrix be returned?
...	further arguments passed on to "dist"

Value

A matrix with a row for each track and a column for each measure.

See Also

clusterTracks for a quick method to compute the feature matrix and a clustering, and trackFeatureMap to perform dimensionality reduction methods on a set of track features.

Examples

## Get speed, meanTurningAngle, and straightness for T cell tracks
fm <- getFeatureMatrix( TCells, c(speed,meanTurningAngle,straightness))
str(fm)

celltrackR documentation built on March 21, 2022, 5:06 p.m.