plotScatter

Scatter plots of the observations are plotted by
selecting pairs of dimensions, potentially colored by a known
classification.

Fits Bayesian finite mixtures with an unknown number of components using the telescoping sampler and different component distributions. For more details see Frühwirth-Schnatter et al. (2021) <doi:10.1214/21-BA1294>.

Gertraud Malsiner-Walli

telescope

Bayesian Mixtures with an Unknown Number of Components

Bettina Grün

Sylvia Frühwirth-Schnatter

plotScatter function

<dl><dt>x</dt>
<dd>A matrix or data.frame; the data consisting of metric variables.</dd>
<dt>z</dt>
<dd>A vector; indicating the color to use for the observations.</dd>
<dt>label</dt>
<dd>A character string; the text to include in the axes labels.</dd>
<dt>trim</dt>
<dd>A scalar numeric in \([0, 0.5)\); trimming to use for quantiles to determine axes.</dd></dl>

Arguments

Pairwise scatter plots of the data. — plotScatter

<dl>

<dt>x</dt>
<dd>A matrix or data.frame; the data consisting of metric variables.</dd>


<dt>z</dt>
<dd>A vector; indicating the color to use for the observations.</dd>


<dt>label</dt>
<dd>A character string; the text to include in the axes labels.</dd>


<dt>trim</dt>
<dd>A scalar numeric in \([0, 0.5)\); trimming to use for quantiles to determine axes.</dd>

</dl>

plotScatter: Pairwise scatter plots of the data.

Description

Usage

Value

Arguments

Examples