Data Mining Algorithms In R/R Packages/RWeka

Description
An R interface to Weka (Version 3.7.2). 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.

Requirements
R (>= 2.6.0)

RWekajars (>= 3.7.2)

rJava (>= 0.6-3)

Java (>= 5.0)

General API

 * 1) /Evaluate Weka Classifier/
 * 2) /Predict Weka Classifier/
 * 3) /Predict Weka Clusterer/
 * 4) /Weka associators/
 * 5) /Weka classifiers/
 * 6) /Weka classifiers functions/
 * 7) /Weka classifier lazy/
 * 8) /Weka classifier meta/
 * 9) /Weka classifier rules/
 * 10) /Weka classifier trees/
 * 11) /Weka clusterers/
 * 12) /Weka control/
 * 13) /Weka converters/
 * 14) /Weka filters/
 * 15) /Weka interfaces/
 * 16) /Weka stemmers/
 * 17) /Weka tokenizers/

IO API

 * 1) /Dot/
 * 2) /Read.arff/
 * 3) /Write.arff/

Package API

 * 1) /WOW/
 * 2) /WPM/