plot.cda

Plot the learning set (and test set) on the canonical axes obtained by Canonical Discriminant Analysis (function <code>CDA</code>).

Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

Alexandre Blansché

plot.cda function

<dl><dt>x</dt>
<dd>The classification model (object of class <code>cda-class</code>).</dd>
<dt>newdata</dt>
<dd>The test set (<code>matrix</code> or <code>data.frame</code>).</dd>
<dt>axes</dt>
<dd>The canonical axes to be printed (numeric <code>vector</code>). Ignored when there is
only one, which is what two classes give: the axis is then drawn against the observation
index, and the class means as horizontal lines.</dd>
<dt>legendpos</dt>
<dd>Position of the legend, as in <code>plotdata</code>.</dd>
<dt>...</dt>
<dd>Other parameters, passed to the underlying plot.</dd></dl>

Arguments

Plot function for cda-class — plot.cda

<dl>

<dt>x</dt>
<dd>The classification model (object of class <code>cda-class</code>).</dd>


<dt>newdata</dt>
<dd>The test set (<code>matrix</code> or <code>data.frame</code>).</dd>


<dt>axes</dt>
<dd>The canonical axes to be printed (numeric <code>vector</code>). Ignored when there is
only one, which is what two classes give: the axis is then drawn against the observation
index, and the class means as horizontal lines.</dd>


<dt>legendpos</dt>
<dd>Position of the legend, as in <code>plotdata</code>.</dd>


<dt>...</dt>
<dd>Other parameters, passed to the underlying plot.</dd>

</dl>

plot.cda: Plot function for cda-class

Description

Usage

Arguments

See Also

Examples