check.classes

Internal helper shared by the classification methods that cannot cope with empty classes.
It coerces <code>labels</code> to a <code>factor</code> (which makes it work with character vectors,
for which <code>nlevels</code> returns 0), drops the levels that are not observed (warning about
them) and checks that at least two classes remain.

internal

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

check.classes function

<dl><dt>labels</dt>
<dd>Class labels (<code>vector</code> or <code>factor</code>).</dd>
<dt>method</dt>
<dd>The name of the calling method, used in the messages (a character string).</dd>
<dt>min.classes</dt>
<dd>The minimal number of (non-empty) classes required (default: 2).</dd></dl>

Arguments

Check and clean class labels — check.classes

<dl>

<dt>labels</dt>
<dd>Class labels (<code>vector</code> or <code>factor</code>).</dd>


<dt>method</dt>
<dd>The name of the calling method, used in the messages (a character string).</dd>


<dt>min.classes</dt>
<dd>The minimal number of (non-empty) classes required (default: 2).</dd>

</dl>

check.classes: Check and clean class labels

Description

Usage

Value

Arguments