dataset-class

This class contains a dataset divided into four parts: the training set and test set, description and class labels.

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 Donn<c3><a9>es en Master 2 Informatique D<c3><a9>cisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

dataset-class function

<dl class="dl-horizontal">
<dt><code>train.x</code></dt><dd>the training set (description), as a <code>data.frame</code> or a <code>matrix</code>.</dd></dl><dt><code>train.y</code></dt><dd>the training set (target), as a <code>vector</code> or a <code>factor</code>.</dd><dt><code>test.x</code></dt><dd>the training set (description), as a <code>data.frame</code> or a <code>matrix</code>.</dd><dt><code>test.y</code></dt><dd>the training set (target), as a <code>vector</code> or a <code>factor</code>.</dd>

dataset-class: Training set and test set

Description

Arguments

Slots

See Also