RWeka v0.4-29


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by Kurt Hornik

R/Weka Interface

An R interface to Weka (Version 3.9.0). 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
predict_Weka_classifier Model Predictions for R/Weka Classifiers
Weka_associators R/Weka Associators
Weka_attribute_evaluators R/Weka Attribute Evaluators
Weka_classifier_functions R/Weka Classifier Functions
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
read.arff Read Data from ARFF Files
Weka_classifier_lazy R/Weka Lazy Learners
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
Weka_classifier_meta R/Weka Meta Learners
dot Create DOT Representations
Weka_stemmers R/Weka Stemmers
Weka_filters R/Weka Filters
Weka_interfaces R/Weka interfaces
Weka_classifier_rules R/Weka Rule Learners
Weka_classifier_trees R/Weka Classifier Trees
Weka_control Control Weka Options
Weka_tokenizers R/Weka Tokenizers
Weka_classifiers R/Weka Classifiers
Weka_converters R/Weka File Loaders and Savers
Weka_clusterers R/Weka Clusterers
WPM Weka Package Manager
write.arff Write Data into ARFF Files
WOW Weka Option Wizard
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SystemRequirements Java (>= 7.0)
License GPL-2
NeedsCompilation no
Packaged 2016-06-09 10:36:21 UTC; hornik
Repository CRAN
Date/Publication 2016-06-09 13:05:01

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