splitdata

This function splits a dataset into training set and test set. Return an object of class <code>dataset-class</code>.

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

splitdata function

<dl><dt>dataset</dt>
<dd>The dataset to be split (<code>data.frame</code> or <code>matrix</code>).</dd>
<dt>target</dt>
<dd>The column index of the target variable (class label or response variable).</dd>
<dt>size</dt>
<dd>The size of the training set (as an integer value).</dd>
<dt>seed</dt>
<dd>A specified seed for random number generation.</dd></dl>

Arguments

Splits a dataset into training set and test set — splitdata

<dl>

<dt>dataset</dt>
<dd>The dataset to be split (<code>data.frame</code> or <code>matrix</code>).</dd>


<dt>target</dt>
<dd>The column index of the target variable (class label or response variable).</dd>


<dt>size</dt>
<dd>The size of the training set (as an integer value).</dd>


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

</dl>

splitdata: Splits a dataset into training set and test set

Description

Usage

Value

Arguments

See Also

Examples