Data Mining and R Programming for Beginners

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".


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.9.6 by Alexandre Blansché, 3 months ago

Browse source code at

Authors: Alexandre Blansché [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports car, caret, class, cluster, e1071, FactoMineR, flexclust, fpc, glmnet, graphics, grDevices, ibr, irr, kohonen, leaps, MASS, mda, meanShiftR, methods, questionr, randomForest, ROCR, rpart, Rtsne, SnowballC, stats, text2vec, stopwords, utils, wordcloud, xgboost

Depends on arules, mclust, nnet, pls

Suggests datasets, fds

Enhances NMF

See at CRAN