data.target2

Generate a random dataset shaped like a target.

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

data.target2 function

<dl><dt>minr</dt>
<dd>Minimum radius of each class.</dd>
<dt>maxr</dt>
<dd>Maximum radius of each class.</dd>
<dt>initn</dt>
<dd>Number of observations at the beginning of the generation process.</dd>
<dt>levels</dt>
<dd>Name of each class.</dd>
<dt>graph</dt>
<dd>Whether the generated dataset is plotted. <code>FALSE</code> by default, as
everywhere else in the package: a generator has to be callable in a loop or a report
without piling up graphics devices.</dd>
<dt>seed</dt>
<dd>A specified seed for random number generation.</dd></dl>

Arguments

Target2 dataset — data.target2

<dl>

<dt>minr</dt>
<dd>Minimum radius of each class.</dd>


<dt>maxr</dt>
<dd>Maximum radius of each class.</dd>


<dt>initn</dt>
<dd>Number of observations at the beginning of the generation process.</dd>


<dt>levels</dt>
<dd>Name of each class.</dd>


<dt>graph</dt>
<dd>Whether the generated dataset is plotted. <code>FALSE</code> by default, as
everywhere else in the package: a generator has to be callable in a loop or a report
without piling up graphics devices.</dd>


<dt>seed</dt>
<dd>A specified seed for random number generation.</dd>

</dl>

data.target2: Target2 dataset

Description

Usage

Value

Arguments

See Also

Examples