An R interface to Weka (Version 3.5.5).
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/.

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
http://www.cs.waikato.ac.nz/~ml/weka/.

An R interface to Weka (Version 3.5.8).
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/.

An R interface to Weka (Version 3.6.0).
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.  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/.

Kurt Hornik, with contributions from Christian Buchta, Torsten
Hothorn, Alexandros Karatzoglou, David Meyer, and Achim Zeileis
An R interface to Weka (Version 3.6.0). 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.  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/.
graphics, stats, utils, rJava (>= 0.6-0), grid