R: Rweka package

라벨: Informatics
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[in fedora] R-java and R-java-devel

• 1. Users who want an R install that comes with the Fedora OpenJDK preconfigured can yum install R-java.
• 2. Developers who want an R development environment that has the Fedora OpenJDK preconfigured can yum install R-java-devel.
• 3. It does not change the default behavior of the R-core, R-devel (and R) packages.
• 4. Any addon R modules that require java to be present and configured can now use BuildRequires: R-java-devel and be built for Fedora in koji. 

[in R] 

• install.packages(pkgs="RWeka") 
• library(RWeka)

Documentation for package `RWeka' version 0.2-4

Help Pages

Test Data

install.packages("caret", dependencies = TRUE)

JRip

library(caret)
library(RWeka)
data(iris)
TrainData = iris[,1:4]
TrainClasses = iris[,5]
jripFit = train(TrainData, TrainClasses,method = "JRip")

J48

data(iris)
m1 = J48(Species ~ ., data = iris)
m1
table(iris$Species, predict(m1))
write_to_dot(m1)
if(require("party", quietly = TRUE)) plot(m1)

## Using some Weka data sets ...

## J48
DF2 = read.arff(system.file("arff", "contact-lenses.arff",
                             package = "RWeka"))
m2 = J48(`contact-lenses` ~ ., data = DF2)
m2
table(DF2$`contact-lenses`, predict(m2))
if(require("party", quietly = TRUE)) plot(m2)

## M5P
DF3 = read.arff(system.file("arff", "cpu.arff", package = "RWeka"))
m3 = M5P(class ~ ., data = DF3)
m3
if(require("party", quietly = TRUE)) plot(m3)

## Logistic Model Tree.
DF4 = read.arff(system.file("arff", "weather.arff", package = "RWeka"))
m4 = LMT(play ~ ., data = DF4)
m4
table(DF4$play, predict(m4))

## Larger scale example.
if(require("mlbench", quietly = TRUE)
   && require("party", quietly = TRUE)) {
    ## Predict diabetes status for Pima Indian women
    data("PimaIndiansDiabetes", package = "mlbench")
    ## Fit J48 tree with reduced error pruning
    m5 = J48(diabetes ~ ., data = PimaIndiansDiabetes, control = "-R")
    plot(m5)
    ## (Make sure that the plotting device is big enough for the tree.)
}