RWeka v0.3-12


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by Kurt Hornik

R/Weka interface

An R interface to Weka (Version 3.5.7). 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. Both the R interface and Weka itself are contained in the RWeka package. For more information on Weka see

Functions in RWeka

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


Date 2008-06-25
SystemRequirements Java (>= 5.0)
License GPL-2
Packaged Wed Jun 25 12:10:47 2008; hornik

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