RWeka v0.2-3

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by Kurt Hornik

R/Weka interface

An R interface to Weka (Version 3.4.7). 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 http://www.cs.waikato.ac.nz/ml/weka/.

Functions in RWeka

Name Description
Weka_associators R/Weka Associators
read.arff Read Data from ARFF Files
Weka_classifier_functions R/Weka Classifier Functions
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
predict_Weka_classifier Model Predictions for R/Weka Classifiers
Weka_classifier_lazy R/Weka Lazy Learners
Weka_classifier_trees R/Weka Classifier Trees
Weka_classifier_rules R/Weka Rule Learners
Weka_classifier_meta R/Weka Meta Learners
dot Create DOT Representations
Weka_clusterers R/Weka Clusterers
write.arff Write Data into ARFF Files
WOW Weka Option Wizard
Weka_interfaces R/Weka interfaces
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Date 2006-04-20
SystemRequirements Java 1.4 or later
License GPL version 2 or newer
Packaged Thu Apr 20 17:22:12 2006; hornik

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