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".

Data Mining and R Programming for Beginners

package-ubuntu-20.04-r-4.0.5#cran#fdm2id-0.9.5

SVD(x, ndim = min(nrow(x), ncol(x)), ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>A numeric dataset (data.frame or matrix).</p>
</td>
</tr>
<tr valign="top">
<td><code>ndim</code></td>
<td>
<p>The number of dimensions.</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>Other parameters.</p>
</td>
</tr>
</table>

require (datasets)
data (iris)
SVD (iris [, -5])

package-ubuntu-20.04-r-4.0.5#cran#fdm2id-0.9.5#docs#SVD

SVD

Description

Usage

Arguments

See Also

Examples

fdm2id

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`x`	A numeric dataset (data.frame or matrix).
`ndim`	The number of dimensions.
`...`	Other parameters.