RWeka v0.4-40


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R/Weka Interface

An R interface to Weka (Version 3.9.3). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <>.

Functions in RWeka

Name Description
Weka_classifier_trees R/Weka Classifier Trees
Weka_classifiers R/Weka Classifiers
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
Weka_converters R/Weka File Loaders and Savers
Weka_attribute_evaluators R/Weka Attribute Evaluators
Weka_filters R/Weka Filters
read.arff Read Data from ARFF Files
Weka_interfaces R/Weka interfaces
WOW Weka Option Wizard
Weka_classifier_lazy R/Weka Lazy Learners
WPM Weka Package Manager
Weka_clusterers R/Weka Clusterers
Weka_tokenizers R/Weka Tokenizers
dot Create DOT Representations
Weka_control Control Weka Options
Weka_stemmers R/Weka Stemmers
write.arff Write Data into ARFF Files
Weka_associators R/Weka Associators
Weka_classifier_meta R/Weka Meta Learners
Weka_classifier_rules R/Weka Rule Learners
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
predict_Weka_classifier Model Predictions for R/Weka Classifiers
Weka_classifier_functions R/Weka Classifier Functions
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Vignettes of RWeka

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SystemRequirements Java (>= 8)
License GPL-2
NeedsCompilation no
Packaged 2019-02-26 12:01:18 UTC; hornik
Repository CRAN
Date/Publication 2019-02-26 12:37:21 UTC

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