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fdm2id  

Data Mining and R Programming for Beginners
View on CRAN: Click here


Download and install fdm2id package within the R console
Install from CRAN:
install.packages("fdm2id")

Install from Github:
library("remotes")
install_github("cran/fdm2id")

Install by package version:
library("remotes")
install_version("fdm2id", "0.9.9")



Attach the package and use:
library("fdm2id")
Maintained by
Alexandre Blansché
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-23
Latest Update: 2023-06-12
Description:
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
How to cite:
Alexandre Blansché (2019). fdm2id: Data Mining and R Programming for Beginners. R package version 0.9.9, https://cran.r-project.org/web/packages/fdm2id. Accessed 22 Sep. 2026.
Previous versions and publish date:
(2026-09-04 17:50), 0.8.7 (2019-08-23 17:20), 0.9.0 (2019-09-20 16:00), 0.9.1 (2020-01-10 03:00), 0.9.3 (2020-03-12 15:40), 0.9.4 (2020-10-30 14:00), 0.9.5 (2021-01-04 12:30), 0.9.6 (2021-10-29 17:00), 0.9.7 (2022-10-08 10:20), 0.9.8 (2022-10-16 21:52), 0.9.9 (2023-06-12 15:10), 1.0.0 (2026-08-28 09:01)
Other packages that cited fdm2id R package
View fdm2id citation profile
Other R packages that fdm2id depends, imports, suggests or enhances
Complete documentation for fdm2id
Functions, R codes and Examples using the fdm2id R package
Some associated functions: ADABOOST . APRIORI . BAGGING . CA . CART . CDA . DBSCAN . EM . FEATURESELECTION . GRADIENTBOOSTING . HCA . KERREG . KMEANS . KNN . LDA . LINREG . LR . MCA . MEANSHIFT . MLP . MLPREG . NB . NMF . PCA . POLYREG . QDA . RANDOMFOREST . SOM . SPECTRAL . STUMP . SVD . SVM . SVMl . SVMr . SVR . SVRl . SVRr . TEXTMINING . TSNE . accident2014 . alcohol . apriori-class . augmentation . autompg . beetles . birth . boosting-class . boxclus . britpop . cartdepth . cartinfo . cartleafs . cartnodes . cartplot . cda-class . closegraphics . compare.accuracy . compare.jaccard . compare.kappa . compare . confusion . cookies . cookplot . correlated . cost.curves . credit . data.diag . data.gauss . data.parabol . data.target1 . data.target2 . data.twomoons . data.xor . data1 . data2 . data3 . dataset-class . dbs-class . decathlon . distplot . em-class . eucalyptus . evaluation.accuracy . evaluation.adjr2 . evaluation.fmeasure . evaluation.fowlkesmallows . evaluation.goodness . evaluation.jaccard . evaluation.kappa . evaluation.msep . evaluation . evaluation.precision . evaluation.r2 . evaluation.recall . exportgraphics . factorial-class . filter.rules . frequentwords . general.rules . getvocab . intern.dunn . intern.interclass . intern.intraclass . intern . ionosphere . kaiser . kmeans.getk . knn-class . leverageplot . linsep . loadtext . meanshift-class . model-class . movies . ozone . params-class . performance . plot.cda . plot.factorial . plot.som . plotavsp . plotcloud . plotclus . plotdata . plotzipf . predict.apriori . predict.boosting . predict.cda . predict.dbs . predict.em . predict.kmeans . predict.knn . predict.meanshift . predict.model . predict.selection . predict.textmining . print.apriori . print.factorial . pseudoF . query.docs . query.words . reg1 . reg2 . regplot . resplot . roc.curves . rotation . runningtime . scatterplot . selectfeatures . selection-class . snore . som-class . spectral-class . spine . splitdata . stability . summary.apriori . temperature . textmining-class . titanic . toggleexport . treeplot . universite . vectorize.docs . vectorize.words . vectorizer-class . vowels . wheat . wine . zoo . 
Some associated R codes: association.R . classification.R . clustering.R . dataset.R . factorial.R . feature.R . imports.R . misc.R . regression.R . text.R . visualization.R .  Full fdm2id package functions and examples
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