RWeka v0.2-8

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by Kurt Hornik

R/Weka interface

An R interface to Weka (Version 3.5.3). 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_control Control Weka Options
WOW Weka Option Wizard
Weka_associators R/Weka Associators
Weka_classifier_lazy R/Weka Lazy Learners
dot Create DOT Representations
Weka_clusterers R/Weka Clusterers
Weka_interfaces R/Weka interfaces
Weka_classifier_meta R/Weka Meta Learners
predict_Weka_classifier Model Predictions for R/Weka Classifiers
read.arff Read Data from ARFF Files
Weka_classifier_rules R/Weka Rule Learners
Weka_classifier_functions R/Weka Classifier Functions
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
write.arff Write Data into ARFF Files
Weka_classifier_trees R/Weka Classifier Trees
Weka_filters R/Weka Filters
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Details

Date 2006-09-09
SystemRequirements Java 1.4 or later
License GPL version 2 or newer
Packaged Sat Sep 9 22:36:46 2006; hornik

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