For Mac User
replace the old info.Plist with the new one given by Mark Hall
download and install R
install rJava
inside R with
install.packages('rJava')
install Rplugin
with Weka Package Manager
go to weka 3-8-0
folder (if it is the version you are using), and open its terminal, and
run the following 2 lines of codes (thanks to Michael Hall)
export R_HOME=/Library/Frameworks/R.framework/Resources
java -Xss10M -Xmx4096M -cp .:weka.jar weka.gui.GUIChooser
to make life easier, inside a directory where you want to work with weka, save the code above into a file named as weka_r.sh
make it executable, inside this directory's terminal, run the code below:
chmod a+x weka_r.sh
paste weka.jar
from weka 3-8-0 into the directory and run the code below:
./weka_r.sh
Now, you are ready to go. Next time, you just need to go to the directory's terminal and run ./weka_r.sh
to start R with Weka.
open Weka from terminal:
go to directory of Weka 3-8-0
, open its terminal, run the following code:
java -jar weka.jar
data through Weka Explorer:
preprocess
panel, click open file
, choose a data file from weka data folder
;R console
panel, type R scripts inside R console box
.data through Weka KnowledgeFlow:
Data mining processes
panel, click DataSources
to choose ArffLoader
for example, click it onto canvas;ArffLoader
to load a data fileScripting
panel, click RscriptExecutor
onto canvasoption
+ click ArffLoader
, select dataset
, then click RScript Executor
to link themRScript Executor
to type R script, orSettings
and select R Scripting
to use R console with weka's datairis.arff
with either Explorer or KnowledgeFlow;Plotting inside R Console
example aboveThe following Codes can be found from Weka course
Given iris.arff
is loaded in weka, inside Weka Explorer's R console
or Weka KnowledgeFlow's R Scripting
, you can play with the following codes to make beautiful plots:
library(ggplot2)
ggplot(rdata, aes(x = petallength)) + geom_density()
ggplot(rdata, aes(x = petallength)) + geom_density() + xlim(0,8)
ggplot(rdata, aes(x = petallength)) + geom_density(adjust = 0.5) + xlim(0,8)
ggplot(rdata, aes(x = petallength, color = class)) + geom_density(adjust = 0.5) + xlim(0,8)
ggplot(rdata, aes(x = petallength, color = class, fill = class)) + geom_density(adjust = 0.5) + xlim(0,8)
ggplot(rdata, aes(x = petallength, color = class, fill = class)) + geom_density(adjust = 0.5, alpha = 0.5) + xlim(0,8)
library(reshape2)
ndata = melt(rdata)
ndata
ggplot(ndata, aes(x = value, color = class, fill = class)) + geom_density(adjust = 0.5, alpha = 0.5) + xlim(0,8) + facet_grid(variable ~ .)
ggplot(ndata, aes(x = value, color = class, fill = class)) + geom_density(adjust = 0.5, alpha = 0.5) + xlim(0,8) + facet_grid(. ~ variable)
ggplot(ndata, aes(y = value, x = class, colour = class)) + geom_boxplot() + facet_grid(. ~ variable)