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ANALYSE_VorbereitungFuerViolinplots.R
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ANALYSE_VorbereitungFuerViolinplots.R
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#setwd("/home/dao/Desktop/MasterArbeit/R_files/KNITR/")
#load(file = "FINAL_WORKSPACE.Rdata")
#### packages ####
library("ggplot2")
library("rgdal")
library("sp")
library("plyr")
library("ggplot2")
library("scales")
library("ENmisc")
library("gridExtra")
library("Hmisc")
library("dplyr")
library("car")
library("vcd")
library("plyr")
bpDF <- subset(LOR4reg@data, !is.na(Gentri))
bpDF$Gentri <- factor(bpDF$Gentri,levels(bpDF$Gentri)[c(2,3,1)])
bpDF$GentriA <- factor(bpDF$GentriA,levels(bpDF$GentriA)[c(2,3,1)])
levels(bpDF$valid)[levels(bpDF$valid)=="gültig"] <- "Gesamt"
# Gentri: GENTRI Quantilsgrenzen
qntl_Armutchg <- wtd.quantile(LOR4reg@data$Armutchg, weights=LOR4reg@data$E_E.2007,
probs=c(0, .25, .5, .75, 1))
qntl_Mietechgr <- wtd.quantile(LOR4reg@data$Mietechgr, weights=LOR4reg@data$E_E.2007,
probs=c(0, .25, .5, .75, 1))
# GentriA: GENTRI Quantilsgrenzen
qntlA_Armutchg <- wtd.quantile(LOR4reg@data$Armutchg, weights=LOR4reg@data$E_E.2007,
probs=c(0, .15, .5, .85, 1))
qntlA_Mietechgr <- wtd.quantile(LOR4reg@data$Mietechgr, weights=LOR4reg@data$E_E.2007,
probs=c(0, .15, .5, .85, 1))
bp_theme <- theme(#text = element_text(colour = "grey20", size =20, face = "bold"),
#axis.text.x = element_text(face="bold", size=8),
axis.title.x = element_blank(),
axis.title.y = element_text(colour = "grey50"),#, size=10),#, size =20, face = "bold", angle = 90),
plot.margin=unit(c(0.5,-0.3,0.5,0.5), "cm"),
legend.position="none")
bp_themeMITRAND <- theme(#text = element_text(colour = "grey20", size =20, face = "bold"),
#axis.text.x = element_text(face="bold", size=8),
axis.title.x = element_blank(),
axis.title.y = element_text(colour = "grey50"),#, size=10),#, face = "bold", angle = 90),
#plot.margin=unit(c(0.5,-0.3,0.5,0.5), "cm"),
legend.position="none")
bp_themeG <- theme(#text= element_text(size=20),
#axis.text.x = element_text(face="bold", size=8),
axis.text.y = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.ticks = element_blank(),
plot.margin=unit(c(0.5,0.5,0.5,-0.3), "cm"),
legend.position="none")
bp_themeGMITRAND <- theme(#text= element_text(size=20),
#axis.text.x = element_text(face="bold", size=8),
axis.text.y = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.ticks = element_blank(),
#plot.margin=unit(c(0.5,0.5,0.5,-0.3), "cm"),
legend.position="none")
brueche <- 8
##### Mietechgr ####
p1Mietechgr <- ggplot(bpDF, aes(Gentri,
Mietechgr,
weight=E_E.2007,
fill=Gentri)) +
ylab(expression(paste(Delta[r],'Miete (%)')))+
scale_y_continuous(breaks=pretty_breaks(n=brueche))+
geom_violin(scale = "width") + bp_theme
p1Mietechgr <- p1Mietechgr + geom_boxplot(width=.3)
p1Mietechgr <- p1Mietechgr + geom_hline(aes(yintercept=qntl_Mietechgr[4]),
linetype="dotted", color="red", size=0.5)
p2Mietechgr <- ggplot(bpDF, aes(valid,
Mietechgr,
weight=E_E.2007)) +
scale_y_continuous(breaks=pretty_breaks(n=brueche)) +
geom_violin(scale="width") + bp_themeG
p2Mietechgr <- p2Mietechgr + geom_boxplot(width=.3)
p2Mietechgr <- p2Mietechgr + geom_hline(aes(yintercept=qntl_Mietechgr[4]),
linetype="dotted", color="red", size=0.5)
p2Mietechgr <- p2Mietechgr + annotate("text", x=0.7, y=4.73, label="Q[0.75]", parse=TRUE, col="red", size=3)
#p2Mietechgr
#grid.arrange(p1Mietechgr,p2Mietechgr, ncol=2, nrow=1, widths=c(3,1))
##### Armutchg ####
p1Armutchg <- ggplot(bpDF, aes(Gentri,
Armutchg,
weight=E_E.2007,
fill=Gentri)) +
ylab(expression(paste(Delta,'Armut (Prozentpunkte)')))+
scale_y_continuous(breaks=pretty_breaks(n=brueche))+
geom_violin(scale = "width") + bp_theme
p1Armutchg <- p1Armutchg + geom_boxplot(width=.3)
p1Armutchg <- p1Armutchg + geom_hline(aes(yintercept=qntl_Armutchg[2]),
linetype="dotted", color="red", size=0.5)
p2Armutchg <- ggplot(bpDF, aes(valid,
Armutchg,
weight=E_E.2007)) +
scale_y_continuous(breaks=pretty_breaks(n=brueche)) +
geom_violin(scale="width") + bp_themeG
p2Armutchg <- p2Armutchg + geom_boxplot(width=.3)
p2Armutchg <- p2Armutchg + geom_hline(aes(yintercept=qntl_Armutchg[2]),
linetype="dotted", color="red", size=0.5)
p2Armutchg <- p2Armutchg + annotate("text", x=1.35, y=-4.2, label="Q[0.25]", parse=TRUE, col="red", size=3)
#p2Armutchg
#grid.arrange(p1Armutchg, p2Armutchg, ncol=2, nrow=1, widths=c(3,1))
##### Miete 2007 ####
p1Miete.2007 <- ggplot(bpDF, aes(Gentri,
Miete.2007,
weight=E_E.2007,
fill=Gentri)) +
#ylab("Miete 2007")+
ylab(expression(paste(Miete[2007],' ','(Euro/',m^{2},')')))+
scale_y_continuous(breaks=pretty_breaks(n=brueche))+
geom_violin(scale = "width") + bp_theme
p1Miete.2007 <- p1Miete.2007 + geom_boxplot(width=.3)
p1Miete.2007 <- p1Miete.2007 + geom_segment(mapping=aes(x="Gentri", y=Gentri_Miete.2007_0.10,
xend="Kontroll", yend=Gentri_Miete.2007_0.10),
linetype="dotted", color="red", size=0.3) +
geom_segment(mapping=aes(x="Gentri", y=Gentri_Miete.2007_0.90,
xend="Kontroll", yend=Gentri_Miete.2007_0.90),
linetype="dotted", color="red", size=0.3)
p1Miete.2007 <- p1Miete.2007 +
annotate("text", x=1.5, y=7.7, label="Q[0.9]^Gentri", parse=TRUE, col="red", size=3) +
annotate("text", x=1.5, y=4.6, label="Q[0.1]^Gentri", parse=TRUE, col="red", size=3)
#p1Miete.2007
p2Miete.2007 <- ggplot(bpDF, aes(valid,
Miete.2007,
weight=E_E.2007)) +
scale_y_continuous(breaks=pretty_breaks(n=brueche)) +
geom_violin(scale="width") + bp_themeG
p2Miete.2007 <- p2Miete.2007 + geom_boxplot(width=.3)
#grid.arrange(p1Miete.2007, p2Miete.2007, ncol=2, nrow=1, widths=c(3,1))
##### Armut 2007 ####
p1Armut.2007 <- ggplot(bpDF, aes(Gentri,
Armut.2007,
weight=E_E.2007,
fill=Gentri)) +
ylab(expression(paste(Armut[2007],' ','(%)')))+
scale_y_continuous(breaks=pretty_breaks(n=5))+
geom_violin(scale = "width") + bp_theme
p1Armut.2007 <- p1Armut.2007 + geom_boxplot(width=.3)
p1Armut.2007 <- p1Armut.2007 + geom_segment(mapping=aes(x="Gentri", y=Gentri_Armut.2007_0.10,
xend="Kontroll", yend=Gentri_Armut.2007_0.10),
linetype="dotted", color="red", size=0.3) +
geom_segment(mapping=aes(x="Gentri", y=Gentri_Armut.2007_0.90,
xend="Kontroll", yend=Gentri_Armut.2007_0.90),
linetype="dotted", color="red", size=0.3)
p1Armut.2007 <- p1Armut.2007 +
annotate("text", x=1.5, y=49, label="Q[0.9]^Gentri", parse=TRUE, col="red", size=3) +
annotate("text", x=1.5, y=13, label="Q[0.1]^Gentri", parse=TRUE, col="red", size=3)
# p1Armut.2007
p2Armut.2007 <- ggplot(bpDF, aes(valid,
Armut.2007,
weight=E_E.2007)) +
scale_y_continuous(breaks=pretty_breaks(n=brueche)) +
geom_violin(scale="width") + bp_themeG
p2Armut.2007 <- p2Armut.2007 + geom_boxplot(width=.3)
#grid.arrange(p1Armut.2007, p2Armut.2007, ncol=2, nrow=1, widths=c(3,1))
##### Miete 2012 ####
p1Miete.2012 <- ggplot(bpDF, aes(Gentri,
Miete.2012,
weight=E_E.2007,
fill=Gentri)) +
#ylab("Miete 2007")+
ylab(expression(paste(Miete[2012],' ','(Euro/',m^{2},')')))+
scale_y_continuous(breaks=pretty_breaks(n=brueche))+
geom_violin(scale = "width") + bp_theme
p1Miete.2012<- p1Miete.2012 + geom_boxplot(width=.3)
#p1Miete.2012
p2Miete.2012 <- ggplot(bpDF, aes(valid,
Miete.2012,
weight=E_E.2007)) +
scale_y_continuous(breaks=pretty_breaks(n=brueche)) +
geom_violin(scale="width") + bp_themeG
p2Miete.2012 <- p2Miete.2012 + geom_boxplot(width=.3)
#grid.arrange(p1Miete.2012, p2Miete.2012, ncol=2, nrow=1, widths=c(3,1))
##### Armut 2012 ####
p1Armut.2012 <- ggplot(bpDF, aes(Gentri,
Armut.2012,
weight=E_E.2007,
fill=Gentri)) +
#ylab("Miete 2007")+
ylab(expression(paste(Armut[2012],' ','(%)')))+
scale_y_continuous(breaks=pretty_breaks(n=brueche))+
geom_violin(scale = "width") + bp_theme
p1Armut.2012 <- p1Armut.2012 + geom_boxplot(width=.3)
p2Armut.2012 <- ggplot(bpDF, aes(valid,
Armut.2012,
weight=E_E.2007)) +
scale_y_continuous(breaks=pretty_breaks(n=brueche)) +
geom_violin(scale="width") + bp_themeG
p2Armut.2012 <- p2Armut.2012 + geom_boxplot(width=.3)