keiser

The PCA result (object of class <code>factorial-class</code>).

Apply the keiser rule to determine the appropriate number of PCA axes.

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

keiser function

<dl><dt>pca</dt>
<dd>The PCA result (object of class <code>factorial-class</code>).</dd></dl>

Arguments

Keiser rule — keiser

<dl>

<dt>pca</dt>
<dd>The PCA result (object of class <code>factorial-class</code>).</dd>

</dl>

keiser: Keiser rule

Description

Usage

Arguments

See Also

Examples