Data Mining Algorithms In R/Packages/RWeka/Weka associators

Description R interfaces to Weka association rule learning algorithms. Usage Apriori(x, control = NULL) Tertius(x, control = NULL) Arguments x, an R object with the data to be associated. control, an object of class Weka_control, or a character vector of control options, or NULL (default). Details Apriori implements an Apriori-type algorithm, which iteratively reduces the minimum support until it finds the required number of rules with the given minimum confidence. Tertius implements a Tertius-type algorithm, requires Weka package tertius. Value A list inheriting from class Weka_associators with components including: associator, a reference (of class jobjRef) to a Java object obtained by applying the Weka build Associations method to the training instances using the given control options. Example x <- read.arff(system.file("arff", "contact-lenses.arff",package = "RWeka")) Apriori(x) Apriori(x, Weka_control(N = 20)) Tertius(x) Tertius(x, Weka_control(S = TRUE))