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This example is about doing a scott-knott clustering text. The example is very simple. Just a group of factors with different importance values at ten iterations. The scott-knott will group the different factors with ranking them.
Code:
require("ggplot2")
require("grid")
require("plyr")
library(reshape)
library(ScottKnott)
setwd("D:/FirstPaper/FirstPaper/RQ2/")

dataValues<- read.csv('FirefoxTimesavetable_RF.csv',sep=",")

dataValues


dfm <- melt(t(dataValues))[,c(2,3)]


av <- aov(value ~ X2, data=dfm)
sk <- SK(av, which='X2',  dispersion='se', sig.level=0.05)
sk




_________________
Sami
PHD student - SAIL - School Of Computing
Queens' University
Canada


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