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

<p>Plot the Cook's distance of a linear regression model.
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>model</code></td>
<td>
<p>The model to be plotted.</p>
</td>
</tr>
<tr valign="top">
<td><code>index</code></td>
<td>
<p>The index of the variable used for for the x-axis.</p>
</td>
</tr>
</table>

require (datasets)
data (trees)
model = LINREG (trees [, -3], trees [, 3])
cookplot (model)

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

cookplot

Description

Usage

Arguments

Examples

fdm2id

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`model`	The model to be plotted.
`index`	The index of the variable used for for the x-axis.