RWeka v0.4-2


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by Kurt Hornik

R/Weka interface

An R interface to Weka (Version 3.7.1). 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_clusterers R/Weka Clusterers
Weka_converters R/Weka File Loaders and Savers
Weka_filters R/Weka Filters
Weka_classifier_lazy R/Weka Lazy Learners
predict_Weka_classifier Model Predictions for R/Weka Classifiers
read.arff Read Data from ARFF Files
write.arff Write Data into ARFF Files
Weka_attribute_evaluators R/Weka Attribute Evaluators
Weka_interfaces R/Weka interfaces
Weka_classifier_trees R/Weka Classifier Trees
WPM Weka Package Manager
Weka_classifier_rules R/Weka Rule Learners
Weka_classifiers R/Weka Classifiers
Weka_control Control Weka Options
Weka_associators R/Weka Associators
Weka_stemmers R/Weka Stemmers
WOW Weka Option Wizard
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
Weka_tokenizers R/Weka Tokenizers
Weka_classifier_meta R/Weka Meta Learners
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
Weka_classifier_functions R/Weka Classifier Functions
dot Create DOT Representations
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Last month downloads


Date 2010-09-06
SystemRequirements Java (>= 5.0)
License GPL-2
Packaged 2010-09-06 20:05:14 UTC; hornik
Repository CRAN
Date/Publication 2010-09-06 20:11:32

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