sctr

sctr,binClst-method

sctr,binClstStck-method

<code>sctr</code> generates a scatterplot from a
 binClst_instance, showing clusters in different colors.

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

sctr function

<dl><dt>obj</dt>
<dd>A binClst_instance.</dd>
<dt>...</dt>
<dd>Parameters <code>ref</code>, <code>showVars</code> and <code>showClst</code> are
optional.</dd>
<dt>ref</dt>
<dd>A numeric vector with expert/reference labeling for visual validation of
 the clustering.
A second binClst_instance to be compared with the former.</dd>
<dt>showVars</dt>
<dd>When the number of variables is greater than two, a length 3
numeric vector indicating one splitting variable and two variables to be
scattered (given in that order).</dd>
<dt>showClst</dt>
<dd>When the number of variables is greater than two, a numeric
vector (of variable length) indicating a subset of the clusters that will
be shown in the scatter plot. This is useful in case of overlapping
clusters.</dd>
<dt>bg</dt>
<dd>A valid colour to be used as background colour for multivariate scatterplots. By default a light-grey colour is used to enhance data points visibility.</dd></dl>

Arguments

Clustering 2D-scatterplot — sctr

<dl>

<dt>obj</dt>
<dd>A binClst_instance.</dd>


<dt>...</dt>
<dd>Parameters <code>ref</code>, <code>showVars</code> and <code>showClst</code> are
optional.</dd>


<dt>ref</dt>
<dd>A numeric vector with expert/reference labeling for visual validation of
 the clustering.
A second binClst_instance to be compared with the former.</dd>


<dt>showVars</dt>
<dd>When the number of variables is greater than two, a length 3
numeric vector indicating one splitting variable and two variables to be
scattered (given in that order).</dd>


<dt>showClst</dt>
<dd>When the number of variables is greater than two, a numeric
vector (of variable length) indicating a subset of the clusters that will
be shown in the scatter plot. This is useful in case of overlapping
clusters.</dd>


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

</dl>

sctr: Clustering 2D-scatterplot

Description

Usage

Arguments

Examples