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

Artificial dataset for simple regression tasks.

50 instances and 3 variables. <code>X</code>, a numeric, <code>K</code>, a factor, and <code>Y</code>, a numeric (the target variable).

Alexandre Blansché <a href="mailto:alexandre.blansche@univ-lorraine.fr">alexandre.blansche@univ-lorraine.fr</a>

package-ubuntu-20.04-r-4.0.5#cran#fdm2id-0.9.5#docs#reg1

reg1

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fdm2id

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