view

view,binClstPath-method

view,data.frame-method

<code>view</code> provides a fast plot of a segmented trajectory or
 specific chunks of it.

Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory analysis in movement ecology yields behavioural annotation of trajectories based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator, ("Expectation-Maximization Binary Clustering for Behavioural Annotation").

Joan Garriga

EMbC

Expectation-Maximization Binary Clustering

view function

<dl><dt>obj</dt>
<dd>A binClstPath_instance or a data.frame with the format
described for slot <code>binClstPath@pth</code>.</dd>
<dt>...</dt>
<dd>Parameters <code>lbl</code> and <code>lims</code> are optional.</dd>
<dt>lbl</dt>
<dd>A numeric vector with location labels. If <code>obj</code> is a
binClstPath_instance the clustering labels are used by default.</dd>
<dt>lims</dt>
<dd>A numeric vector with lower and upper limit locations to show
only a chunk of the trajectory.</dd>
<dt>bg</dt>
<dd>A valid colour to be used as background colour. By default a light-grey colour is used to enhance data points visibility.</dd></dl>

Arguments

Path fast view — view

<dl>

<dt>obj</dt>
<dd>A binClstPath_instance or a data.frame with the format
described for slot <code>binClstPath@pth</code>.</dd>


<dt>...</dt>
<dd>Parameters <code>lbl</code> and <code>lims</code> are optional.</dd>


<dt>lbl</dt>
<dd>A numeric vector with location labels. If <code>obj</code> is a
binClstPath_instance the clustering labels are used by default.</dd>


<dt>lims</dt>
<dd>A numeric vector with lower and upper limit locations to show
only a chunk of the trajectory.</dd>


<dt>bg</dt>
<dd>A valid colour to be used as background colour. By default a light-grey colour is used to enhance data points visibility.</dd>

</dl>

view: Path fast view

Description

Usage

Arguments

Examples