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".


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install.packages("fdm2id")

0.9.3 by Alexandre Blansché, 7 months ago


Browse source code at https://github.com/cran/fdm2id


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