18.8

Author: LucasLP

experiment/MyExperiments/comparison/Plots/BoxPlot.R

@@ -23,7 +23,7 @@ JMetalBoxplot <- function(algorithms, indicator, problem){
 	boxplot(data,names=algorithms, 
 					notch = TRUE, 
 					use.cols=TRUE,#use boxplot with matrix
-					cex.axis=0.5)#,xaxt='n',xlab="")
+					cex.axis=0.65)#,xaxt='n',xlab="")
 	#axis(1, at=seq(1, length(algorithms), by=1), labels = FALSE)
 	#text(seq(1, length(algorithms), by=1), par("usr")[4] - 0.27, labels = algorithms, srt = 45, pos = 1, xpd = TRUE,cex=0.7)
 

experiment/MyExperiments/comparison/Plots/LinePlot.R

@@ -81,3 +81,74 @@ linePlotEvolution <- function(instance, indicator, algorithmsNames){
 	# Create a legend
 	legend("bottomright", algorithmsNames, cex=0.6, col=plot_colors, pch=21:23, lty=1:3);
 }
+
+
+#pt-br version
+linePlotEvolutionPT <- function(instance, indicator, algorithmsNames){
+	# Read data file
+	algorithms <- c()
+	xmax <- 100 #default #number of steps in evolution process data
+	# Define colors to be used
+	plot_colors <- c("blue","black","orange","green", "brown", "deepskyblue", "gray60","yellow")
+
+	zoommin <- 1#40		#plot only from this
+	zoommax <- 100#99		#at this value
+	for(i in 1:length(algorithmsNames) ){
+		algorithm <- read.table(paste("../history/",algorithmsNames[i],"/data_",indicator,"_",instance,".dat",sep=""), header=T, sep="\t") 
+		algorithm <- algorithm[,(-1:-zoommin)]# "zoom"at the line
+		algorithm <- algorithm[,(-(zoommax-zoommin):-100)]#
+		xmax <- length(algorithm)
+		algorithms[[i]] <- algorithm
+	}
+	# Compute the max and min y 
+	max_y <- max(unlist(lapply(algorithms,FUN=max)))
+	min_y <- min(unlist(lapply(algorithms,FUN=min)))
+
+
+	algorithm1mean <- c()
+	algorithm1Q <- c()
+	algorithm <- algorithms[[1]]
+	for(n in 1:xmax){ 	#calcules mean, 1o quartil and 3 quartil
+		algorithm1mean<-append(algorithm1mean,mean(algorithm[,n]))
+		algorithm1Q <-rbind(algorithm1Q,quantile(algorithm[,n], c(0.25,0.75),type=1))#rbind is to merge, or, add new line in data frame
+	}
+
+	#FIRST ALGORITHM
+	plot(algorithm1mean, type="o", pch='.', lty=1, col=plot_colors[1],  
+		xaxt='n',#this axis will be described later
+		ylim=c(min_y,max_y), # Make y axis 
+		ann=FALSE)
+
+	l = seq(0,zoommax,10)# points where is to plot
+	lab = l+zoommin		# labels 
+	axis(1,at=l,labels=lab)
+
+	lines(algorithm1Q[,1], type="o", pch='.', lty=2, col=plot_colors[1])
+	lines(algorithm1Q[,2], type="o", pch='.', lty=2, col=plot_colors[1])
+
+	#OTHER ALGORITHMS
+	for(i in 2:length(algorithmsNames)){
+		algorithmMean <- c()		
+		algorithmQ <- c()
+		algorithm <- algorithms[[i]]
+		for(n in 1:xmax){ #calcules mean, 1o quartil and 3 quartil
+			algorithmMean<-append(algorithmMean,mean(algorithm[,n]))
+			algorithmQ <-rbind(algorithmQ,quantile(algorithm[,n], c(0.25,0.75),type=1))#rbind is to merge, or, add new line in data frame
+		}
+		lines(algorithmMean, type="o", pch='.', lty=1, col=plot_colors[i])
+		lines(algorithmQ[,1], type="o", pch='.', lty=2, col=plot_colors[i])
+		lines(algorithmQ[,2], type="o", pch='.', lty=2, col=plot_colors[i])
+	}
+
+	grid(col="black")
+	# Create box around plot
+	box()
+	# Create a title bold/italic font
+	title(main=paste("Evolução do ",indicator," : ",instance,sep=""), font.main=4)
+	# Label the x and y axes
+	title(xlab= "% das avaliações")
+	title(ylab= paste("Valor do indicador de qualidade ",indicator,sep=""))
+	# Create a legend
+	legend("bottomright", algorithmsNames, cex=0.6, col=plot_colors, pch=21:23, lty=1:3);
+}
+

experiment/MyExperiments/comparison/examples/PlotEvolutionScatterAndBox.R

@@ -12,8 +12,8 @@
 #						see the algorithm in java /ExecuteJMetal/src/org.uma.jmetal.util.experiment.component/GenerateEvolutionChart.java
 #	
 #############################################################
-
-source("../main.R") #load these functions
+#the file must be executed in same directory of main.R
+source("main.R") #load these functions
 
 par(mfrow=c(2,4)) #set number of plot/page
 #pdf("Rplot.pdf", width=15,height=11)#paper="A4")

experiment/MyExperiments/comparison/examples/PlotInPNGFile.R

@@ -0,0 +1,35 @@
+#############################################################
+#		ExecuteJMetal 	::R functions::
+#
+#	Author: Lucas Prestes		lucas.prestes.lp@gmail.com
+#
+#############################################################
+#			SCRIPT START HERE
+#
+#	These are examples of how to call the methods
+#
+#		ATTENTION! The function "linePlotEvolution" only can by plotter with the data files, 
+#						see the algorithm in java /ExecuteJMetal/src/org.uma.jmetal.util.experiment.component/GenerateEvolutionChart.java
+#	
+#############################################################
+#the file must be executed in same directory of main.R
+source("main.R") #load these functions
+
+par(mfrow=c(1, 3)) #set number of plot/page   #c(lines, columns)
+
+algorithms <- c("MOEADDRA","NSGAII","IBEA")
+
+instances3obj <- c("DTLZ1","DTLZ2","DTLZ3","DTLZ4","DTLZ7")
+
+
+for(instance in instances3obj){
+	png(paste("./PlotInPNGFile/PlotInPNGFile_",instance,".png",sep=""), height=800, width=1650, pointsize=11, res=230)
+
+	par(mfrow=c(1, 3))
+
+	linePlotEvolution(instance,"HV",algorithms)
+
+	JMetalBoxplot(algorithms, "HV", instance)
+
+	objectivePoints3D(instance, algorithms)	
+}

experiment/MyExperiments/comparison/examples/PlotInPNGFile/PlotInPNGFile_DTLZ1.png

@@ -4,7 +4,7 @@
 #	Author: Lucas Prestes		lucas.prestes.lp@gmail.com
 #
 #############################################################
-
+#the file must be executed in same directory of main.R
 
 source("main.R")
 

experiment/MyExperiments/comparison/examples/PlotInPNGFile/PlotInPNGFile_DTLZ2.png

@@ -5,14 +5,16 @@
 #
 #	https://github.com/LucasLP/ExecuteJMetal
 #
-#	#### Functions avaible in this file: ####
+	#### Functions avaible ####
 #
 #	loadData(algorithm, instance) #Return the data file from instance ant indicator
 #	setBenchmark(benchmark)
 #	bestHV(algorithm, instance)
 #	bestIGD(algorithm, instance)
 #	bestEP(algorithm, instance)
 #	bestIndicators(algorithm, instance)
+#	setBenchmark(benchmark) #example, send "UF" and it will return a array with all of instances in this benchmark
+#
 	source("./Statistics/Counter.R")
 #		countWinners(algorithms, instances)
 #		countAll(algorithm, instance)

experiment/MyExperiments/comparison/examples/PlotInPNGFile/PlotInPNGFile_DTLZ3.png

@@ -9,31 +9,42 @@
 
 source("main.R") #load these functions
 
-par(mfrow=c(2,4)) #set number of plot/page
+par(mfrow=c(1, 3)) #set number of plot/page   #c(lines, columns)
 #pdf("Rplot.pdf", width=15,height=11)#paper="A4")
 
-algorithms <- c("MOEADDRA","NSGAII","IBEA")#,"UCBHybrid")
+#png("name.png", height=1800, width=1650, pointsize=11, res=230)
+
+algorithms <- c("MOEADDRA","NSGAII","IBEA","UCBHybrid")
+algorithms2 <- c("MOEADDRA","NSGAII","UCBHybrid")
 instances2obj <- c("WFG1","WFG2","WFG4","WFG7","ZDT1","ZDT2","ZDT3","ZDT6")#setBenchmark("DTLZ")
 instances3obj <- c("DTLZ1","DTLZ2","DTLZ3","DTLZ4","DTLZ7")#setBenchmark("DTLZ")
 
-latexMain(algorithms, "UF")
+#latexMain(algorithms, "UF")
+
 
-if(FALSE){
 
 for(instance in instances2obj){
-	linePlotEvolution(instance,"HV",algorithms)
-	linePlotEvolution(instance,"Spread",algorithms)
-	objectivePoints(instance, algorithms)	
+	png(paste(instance,".png",sep=""), height=800, width=1650, pointsize=11, res=230)
+	par(mfrow=c(1, 3))
+
+	linePlotEvolutionPT(instance,"HV",algorithms)
+	#linePlotEvolution(instance,"Spread",algorithms)
+	#objectivePoints(instance, algorithms)	
 	JMetalBoxplot(algorithms, "HV", instance)
+	JMetalBoxplot(algorithms2, "HV", instance)
 }
 
 
 
 for(instance in instances3obj){
-	linePlotEvolution(instance,"HV",algorithms)
-	linePlotEvolution(instance,"Spread",algorithms)
-	objectivePoints3D(instance, algorithms)	
+	png(paste(instance,".png",sep=""), height=800, width=1650, pointsize=11, res=230)
+	par(mfrow=c(1, 3))
+
+	linePlotEvolutionPT(instance,"HV",algorithms)
+	#linePlotEvolution(instance,"Spread",algorithms)
+	#objectivePoints3D(instance, algorithms)	
 	JMetalBoxplot(algorithms, "HV", instance)
+	JMetalBoxplot(algorithms2, "HV", instance)
 }