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3_GenerateVariables.R
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3_GenerateVariables.R
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#********************************************
# #
# Variablengenerierung für Analyse #
# #
#********************************************
# ____ Packages ______ ----------------------------------------------------------------
library("plyr")
library("reshape2")
library("foreign")
library("sp")
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# I.) LOR long Datensatz ------
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LORdataFULL4GenerateVARIABLES <- LORdataFULLv1
LORdataFULLv2 <- LORdataFULL4GenerateVARIABLES
#names(LORdataFULLv2)
#View(LORdataFULLv2)
###### a.) Miete #####
LORdataFULLv2$MieteNom <- round((LORdataFULLv2$Miete_H1_wmean+LORdataFULLv2$Miete_H2_wmean)/2, digits=2)
# Miete Deflationieren: Basisjahr 2012 Index=1
Mdef12 <- subset(LORdataFULLv2, ZEIT=="2012", select=c(MieteNom))
Mdef11 <- round(subset(LORdataFULLv2, ZEIT=="2011",
select=c(MieteNom))/VPI$VPIbasis2012[VPI$Zeit==2011], digits=2)
Mdef10 <- round(subset(LORdataFULLv2, ZEIT=="2010",
select=c(MieteNom))/VPI$VPIbasis2012[VPI$Zeit==2010], digits=2)
Mdef09 <- round(subset(LORdataFULLv2, ZEIT=="2009",
select=c(MieteNom))/VPI$VPIbasis2012[VPI$Zeit==2009], digits=2)
Mdef08 <- round(subset(LORdataFULLv2, ZEIT=="2008",
select=c(MieteNom))/VPI$VPIbasis2012[VPI$Zeit==2008], digits=2)
Mdef07 <- round(subset(LORdataFULLv2, ZEIT=="2007",
select=c(MieteNom))/VPI$VPIbasis2012[VPI$Zeit==2007], digits=2)
Miete2merge <- rbind(Mdef07,Mdef08,Mdef09,Mdef10,Mdef11,Mdef12)
colnames(Miete2merge) <- "Miete"
remove(Mdef07,Mdef08,Mdef09,Mdef10,Mdef11,Mdef12)
LORdataFULLv2ORD <- LORdataFULLv2[order(LORdataFULLv2[,"ZEIT"]), ]
#View(LORdataFULLv2ORD)
LORdataFULLv2ORD <- data.frame(LORdataFULLv2ORD,Miete2merge$Miete)
colnames(LORdataFULLv2ORD)[dim(LORdataFULLv2ORD)[2]] <- "Miete"
LORdataFULLv2 <- LORdataFULLv2ORD[order(LORdataFULLv2ORD[,"RAUMID"],LORdataFULLv2ORD[,"ZEIT"]), ]
#View(LORdataFULLv2)
LORdataFULLv2 <- ddply(LORdataFULLv2,"RAUMID", transform,
Mietechg = c(NA,diff(Miete)))
LORdataFULLv2 <- ddply(LORdataFULLv2,"RAUMID", transform,
Mietechgr = c(NA,exp(diff(log(Miete)))-1))
LORdataFULLv2$Mietechgr <- round((LORdataFULLv2$Mietechgr*100), digits=1)
###### b.) Altergruppen Inländer ######
LORdataFULLv2$E_U18 <- (LORdataFULLv2$E_U1 +
LORdataFULLv2$E_1U6 +
LORdataFULLv2$E_6U15 +
LORdataFULLv2$E_15U18)
LORdataFULLv2$E_15U65 <- (LORdataFULLv2$E_15U18 +
LORdataFULLv2$E_18U25 +
LORdataFULLv2$E_25U55 +
LORdataFULLv2$E_55U65)
LORdataFULLv2$E_18U35 <- (LORdataFULLv2$E_18U25 +
LORdataFULLv2$E_E25_27 +
LORdataFULLv2$E_E27_30 +
LORdataFULLv2$E_E30_35)
LORdataFULLv2$E_18U65 <- (LORdataFULLv2$E_18U25 +
LORdataFULLv2$E_25U55 +
LORdataFULLv2$E_55U65)
LORdataFULLv2$E_65U110 <- (LORdataFULLv2$E_65U80 +
LORdataFULLv2$E_80U110)
LORdataFULLv2$E_U1R <- round(( LORdataFULLv2$E_U1 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_1U6R <- round(( LORdataFULLv2$E_1U6 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_6U15R <- round(( LORdataFULLv2$E_6U15 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_15U18R <- round(( LORdataFULLv2$E_15U18 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_18U25R <- round(( LORdataFULLv2$E_18U25 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_25U55R <- round(( LORdataFULLv2$E_25U55 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_55U65R <- round(( LORdataFULLv2$E_55U65 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_65U80R <- round(( LORdataFULLv2$E_65U80 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_80U110R <- round(( LORdataFULLv2$E_80U110 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_U18R <- round(( LORdataFULLv2$E_U18 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_18U35R <- round(( LORdataFULLv2$E_18U35 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_15U65R <- round(( LORdataFULLv2$E_15U65 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_18U65R <- round(( LORdataFULLv2$E_18U65 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_65U110R <- round(( LORdataFULLv2$E_65U110 / LORdataFULLv2$E_E )*100,digits=1)
###### c.) Altergruppen Ausländer ######
LORdataFULLv2$E_AU18 <- (LORdataFULLv2$E_AU1 +
LORdataFULLv2$E_A1U6 +
LORdataFULLv2$E_A6U15 +
LORdataFULLv2$E_A15U18)
LORdataFULLv2$E_A18U65 <- (LORdataFULLv2$E_A18U25 +
LORdataFULLv2$E_A25U55 +
LORdataFULLv2$E_A55U65)
LORdataFULLv2$E_A65U110 <- (LORdataFULLv2$E_A65U80 +
LORdataFULLv2$E_A80U110)
LORdataFULLv2$E_AU1R <- round(( LORdataFULLv2$E_AU1 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A1U6R <- round(( LORdataFULLv2$E_A1U6 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A6U15R <- round(( LORdataFULLv2$E_A6U15 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A15U18R <- round(( LORdataFULLv2$E_A15U18 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A18U25R <- round(( LORdataFULLv2$E_A18U25 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A25U55R <- round(( LORdataFULLv2$E_A25U55 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A55U65R <- round(( LORdataFULLv2$E_A55U65 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A65U80R <- round(( LORdataFULLv2$E_A65U80 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A80U110R <- round(( LORdataFULLv2$E_A80U110 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_AU18R <- round(( LORdataFULLv2$E_AU18 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A18U65R <- round(( LORdataFULLv2$E_A18U65 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_A65U110R <- round(( LORdataFULLv2$E_A65U110 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$E_AU18RU18 <- round(( LORdataFULLv2$E_AU18 / LORdataFULLv2$E_U18 )*100,digits=1)
LORdataFULLv2$E_A18U65R18U65 <- round(( LORdataFULLv2$E_A18U65 / LORdataFULLv2$E_18U65 )*100,digits=1)
LORdataFULLv2$E_A65U110R65U110 <- round(( LORdataFULLv2$E_A65U110 / LORdataFULLv2$E_65U110 )*100,digits=1)
###### d.) Altergruppen Migrationshintergrund ######
LORdataFULLv2$MH_U18 <- (LORdataFULLv2$MH_U1 +
LORdataFULLv2$MH_1U6 +
LORdataFULLv2$MH_6U15 +
LORdataFULLv2$MH_15U18)
LORdataFULLv2$MH_18U65 <- (LORdataFULLv2$MH_18U25 +
LORdataFULLv2$MH_25U55 +
LORdataFULLv2$MH_55U65)
LORdataFULLv2$MH_65U110 <- (LORdataFULLv2$MH_65U80 +
LORdataFULLv2$MH_80U110)
LORdataFULLv2$MH_U1R <- round(( LORdataFULLv2$MH_U1 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_1U6R <- round(( LORdataFULLv2$MH_1U6 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_6U15R <- round(( LORdataFULLv2$MH_6U15 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_15U18R <- round(( LORdataFULLv2$MH_15U18 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_18U25R <- round(( LORdataFULLv2$MH_18U25 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_25U55R <- round(( LORdataFULLv2$MH_25U55 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_55U65R <- round(( LORdataFULLv2$MH_55U65 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_65U80R <- round(( LORdataFULLv2$MH_65U80 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_80U110R <- round(( LORdataFULLv2$MH_80U110 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_U18R <- round(( LORdataFULLv2$MH_U18 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_18U65R <- round(( LORdataFULLv2$MH_18U65 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_65U110R <- round(( LORdataFULLv2$MH_65U110 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_U18RU18 <- round(( LORdataFULLv2$MH_U18 / LORdataFULLv2$E_U18 )*100,digits=1)
LORdataFULLv2$MH_18U65R18U65 <- round(( LORdataFULLv2$MH_18U65 / LORdataFULLv2$E_18U65 )*100,digits=1)
LORdataFULLv2$MH_65U110R65U110 <- round(( LORdataFULLv2$MH_65U110 / LORdataFULLv2$E_65U110 )*100,digits=1)
###### e.) Ausländeranteil & Migrationshintergrund ######
LORdataFULLv2$E_AR <- round(( LORdataFULLv2$E_A / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$MH_ER <- round(( LORdataFULLv2$MH_E / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$HK_TurkR <- round(( LORdataFULLv2$HK_Turk / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$HK_ArabR <- round(( LORdataFULLv2$HK_Arab / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$HK_EU15R <- round(( LORdataFULLv2$HK_EU15 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$HK_EU27R <- round(( LORdataFULLv2$HK_EU27 / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$HK_PolenR <- round(( LORdataFULLv2$HK_Polen / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$HK_EheJugR <- round(( LORdataFULLv2$HK_EheJug / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$HK_EheSUR <- round(( LORdataFULLv2$HK_EheSU / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$HK_SonstR <- round(( LORdataFULLv2$HK_Sonst / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$HK_TurkRMH <- round(( LORdataFULLv2$HK_Turk / LORdataFULLv2$MH_E )*100,digits=1)
LORdataFULLv2$HK_ArabRMH <- round(( LORdataFULLv2$HK_Arab / LORdataFULLv2$MH_E )*100,digits=1)
LORdataFULLv2$HK_EU15RMH <- round(( LORdataFULLv2$HK_EU15 / LORdataFULLv2$MH_E )*100,digits=1)
LORdataFULLv2$HK_EU27RMH <- round(( LORdataFULLv2$HK_EU27 / LORdataFULLv2$MH_E )*100,digits=1)
LORdataFULLv2$HK_PolenRMH <- round(( LORdataFULLv2$HK_Polen / LORdataFULLv2$MH_E )*100,digits=1)
LORdataFULLv2$HK_EheJugRMH <- round(( LORdataFULLv2$HK_EheJug / LORdataFULLv2$MH_E )*100,digits=1)
LORdataFULLv2$HK_EheSURMH <- round(( LORdataFULLv2$HK_EheSU / LORdataFULLv2$MH_E )*100,digits=1)
LORdataFULLv2$HK_SonstRMH <- round(( LORdataFULLv2$HK_Sonst / LORdataFULLv2$MH_E )*100,digits=1)
###### f.) Wohnlage ######
LORdataFULLv2$WLOL <- (LORdataFULLv2$WLEINFOL +
LORdataFULLv2$WLMITOL +
LORdataFULLv2$WLGUTOL)
LORdataFULLv2$WLML <- (LORdataFULLv2$WLEINFML +
LORdataFULLv2$WLMITML +
LORdataFULLv2$WLGUTML)
LORdataFULLv2$WLEINF <- (LORdataFULLv2$WLEINFOL + LORdataFULLv2$WLEINFML)
LORdataFULLv2$WLMIT <- (LORdataFULLv2$WLMITOL + LORdataFULLv2$WLMITML)
LORdataFULLv2$WLGUT <- (LORdataFULLv2$WLGUTOL + LORdataFULLv2$WLGUTML)
LORdataFULLv2$WLEINFOLR <- round(( LORdataFULLv2$WLEINFOL / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLEINFMLR <- round(( LORdataFULLv2$WLEINFML / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLMITOLR <- round(( LORdataFULLv2$WLMITOL / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLMITMLR <- round(( LORdataFULLv2$WLMITML / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLGUTOLR <- round(( LORdataFULLv2$WLGUTOL / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLGUTMLR <- round(( LORdataFULLv2$WLGUTML / LORdataFULLv2$E_E )*100,digits=1)
#LORdataFULLv2$WLNZORDR <- round(( LORdataFULLv2$WLNZORD / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLOLR <- round(( LORdataFULLv2$WLOL / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLMLR <- round(( LORdataFULLv2$WLML / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLEINFR <- round(( LORdataFULLv2$WLEINF / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLMITR <- round(( LORdataFULLv2$WLMIT / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WLGUTR <- round(( LORdataFULLv2$WLGUT / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$WL[LORdataFULLv2$WLEINFR > 33.3] <- "einfach"
LORdataFULLv2$WL[LORdataFULLv2$WLMITR > 33.3] <- "mittel"
LORdataFULLv2$WL[LORdataFULLv2$WLGUTR > 33.3] <- "gut"
LORdataFULLv2$WL <- factor(LORdataFULLv2$WL)
LORdataFULLv2$WL
###### g.) Wohndauer ######
LORdataFULLv2 <- ddply(LORdataFULLv2,"RAUMID", transform,
PDAU10chg = c(NA,diff(PDAU10)))
LORdataFULLv2 <- ddply(LORdataFULLv2,"RAUMID", transform,
PDAU5chg = c(NA,diff(PDAU5)))
###### h.) Sozialindikatoren ######
LORdataFULLv2$AloseABS <- round(((LORdataFULLv2$Alose/100)*LORdataFULLv2$E_15U65), digits=0)
LORdataFULLv2$AloseR <- round((LORdataFULLv2$AloseABS/LORdataFULLv2$E_E)*100,digits=1)
LORdataFULLv2$Armut <- round((LORdataFULLv2$AloseR + LORdataFULLv2$nicht_Alose_Hartz),digits=1)
####### i.) Binnenwanderungen ######
LORdataFULLv2$FortzuegeR <- round(( LORdataFULLv2$Fortzuege / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$ZuzuegeR <- round(( LORdataFULLv2$Zuzuege / LORdataFULLv2$E_E )*100,digits=1)
####### j.) Aussenwanderungen #######
LORdataFULLv2$FortzuegeUD <- (LORdataFULLv2$FortzuegeU + LORdataFULLv2$FortzuegeD )
LORdataFULLv2$FortzuegeDA <- (LORdataFULLv2$FortzuegeD + LORdataFULLv2$FortzuegeA )
LORdataFULLv2$FortzuegeUDA <- (LORdataFULLv2$FortzuegeU + LORdataFULLv2$FortzuegeD + LORdataFULLv2$FortzuegeA )
LORdataFULLv2$FortzuegeUR <- round(( LORdataFULLv2$FortzuegeU / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$FortzuegeDR <- round(( LORdataFULLv2$FortzuegeD / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$FortzuegeAR <- round(( LORdataFULLv2$FortzuegeA / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$FortzuegeUDR <- round(( LORdataFULLv2$FortzuegeUD / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$FortzuegeDAR <- round(( LORdataFULLv2$FortzuegeDA / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$FortzuegeUDAR <- round(( LORdataFULLv2$FortzuegeUDA / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$ZuzuegeUD <- (LORdataFULLv2$ZuzuegeU + LORdataFULLv2$ZuzuegeD )
LORdataFULLv2$ZuzuegeDA <- (LORdataFULLv2$ZuzuegeD + LORdataFULLv2$ZuzuegeA )
LORdataFULLv2$ZuzuegeUDA <- (LORdataFULLv2$ZuzuegeU + LORdataFULLv2$ZuzuegeD + LORdataFULLv2$ZuzuegeA )
LORdataFULLv2$ZuzuegeUR <- round(( LORdataFULLv2$ZuzuegeU / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$ZuzuegeDR <- round(( LORdataFULLv2$ZuzuegeD / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$ZuzuegeAR <- round(( LORdataFULLv2$ZuzuegeA / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$ZuzuegeUDR <- round(( LORdataFULLv2$ZuzuegeUD / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$ZuzuegeDAR <- round(( LORdataFULLv2$ZuzuegeDA / LORdataFULLv2$E_E )*100,digits=1)
LORdataFULLv2$ZuzuegeUDAR <- round(( LORdataFULLv2$ZuzuegeUDA / LORdataFULLv2$E_E )*100,digits=1)
###### k.) Sanierungsgebiete #######
LORdataFULLv2$SanGebietID <- LORdataFULLv2$SanGebiet
LORdataFULLv2$SanGebiet <- -1
LORdataFULLv2$SanGebiet[is.na(LORdataFULLv2$SanGebietID)] <- "nein"
LORdataFULLv2$SanGebiet[LORdataFULLv2$SanGebiet!="nein"] <- "ja"
LORdataFULLv2$SanGebiet<- factor(LORdataFULLv2$SanGebiet)
LORdataFULLv2$SanGebiet
###### l.) Referenzkategorien für kategorielle Variablen setzen #######
LORdataFULLv2$WL <- factor(LORdataFULLv2$WL,levels(LORdataFULLv2$WL)[c(1,3,2)])
LORdataFULLv2$SanGebiet_KLASSE <- factor(LORdataFULLv2$SanGebiet_KLASSE,levels(LORdataFULLv2$SanGebiet_KLASSE)[c(4,1,3,2)])
LORdataFULLv2$SanGebiet <- factor(LORdataFULLv2$SanGebiet, levels(LORdataFULLv2$SanGebiet)[c(2,1)])
###### m.) Unnötige Vars droppen & Var order ändern ######
names(LORdataFULLv2)
LORdataFULLv3 <- subset(LORdataFULLv2, select=-c(Miete_H1_wmean,
Miete_H2_wmean,
HK_NZOrd,
WLNZORD,
EinfWhnlageLaerm,
MigHinter_u18,
E_E15_18,E_E18_21,E_E21_25,
E_E25_27,E_E27_30,E_E30_35,
E_U1, E_1U6, E_6U15, E_15U18, E_18U25, E_25U55, E_55U65, E_65U80, E_80U110,
E_U1R, E_1U6R, E_6U15R, E_15U18R, E_18U25R, E_25U55R, E_55U65R, E_65U80R, E_80U110R,
E_AU1, E_A1U6, E_A6U15, E_A15U18, E_A18U25, E_A25U55, E_A55U65, E_A65U80, E_A80U110,
E_AU1R, E_A1U6R, E_A6U15R, E_A15U18R, E_A18U25R, E_A25U55R, E_A55U65R, E_A65U80R, E_A80U110R,
MH_U1, MH_1U6, MH_6U15, MH_15U18, MH_18U25, MH_25U55, MH_55U65, MH_65U80, MH_80U110,
MH_U1R, MH_1U6R, MH_6U15R, MH_15U18R, MH_18U25R, MH_25U55R, MH_55U65R, MH_65U80R, MH_80U110R,
WanderVol,WanderSaldo,WanderSaldo_u6,
SanGebietID))
names(LORdataFULLv3)
LORdataFULLv4 <- LORdataFULLv3[c("ZEIT",
# ID Variablen
"RAUMID", "RAUMID_NAME",
"BZR", "BZR_NAME",
"PGR", "PRG_NAME",
"BEZ", "BEZ_NAME",
"STADTRAUM", "FL_HA", "dist2STADTMITTE",
# Gesamteinwohner
"E_E",
"E_U18", "E_18U35", "E_15U65", "E_18U65", "E_65U110",
"E_U18R", "E_18U35R", "E_15U65R", "E_18U65R", "E_65U110R",
# Ausländer
# "E_A", "E_AR",
# "E_AU18", "E_A18U65", "E_A65U110",
# "E_AU18R", "E_A18U65R", "E_A65U110R",
# "E_AU18RU18", "E_A18U65R18U65","E_A65U110R65U110",
# Migrationshintergrund
"MH_E", "MH_ER",
"MH_U18", "MH_18U65", "MH_65U110",
"MH_U18R", "MH_18U65R", "MH_65U110R",
"MH_U18RU18", "MH_18U65R18U65","MH_65U110R65U110",
"HK_EU15", "HK_EU27", "HK_Polen",
"HK_EheJug", "HK_EheSU", "HK_Turk", "HK_Arab",
"HK_Sonst",
"HK_EU15R", "HK_EU27R", "HK_PolenR",
"HK_EheJugR", "HK_EheSUR", "HK_TurkR", "HK_ArabR",
"HK_SonstR",
"HK_EU15RMH", "HK_EU27RMH", "HK_PolenRMH",
"HK_EheJugRMH","HK_EheSURMH", "HK_TurkRMH", "HK_ArabRMH",
"HK_SonstRMH",
# Wohndauer
"EINW10", "EINW5",
"DAU10", "DAU5",
"PDAU10", "PDAU5",
"PDAU10chg", "PDAU5chg",
# Wohnlage
# "WLEINFOL", "WLEINFML",
# "WLMITOL", "WLMITML",
# "WLGUTOL", "WLGUTML",
# "WLEINFOLR", "WLEINFMLR",
# "WLMITOLR", "WLMITMLR",
# "WLGUTOLR", "WLGUTMLR",
"WLOL", "WLML",
"WLOLR", "WLMLR",
"WLEINF", "WLMIT", "WLGUT",
"WLEINFR", "WLMITR", "WLGUTR",
"WL",
# Sozialindikatoren
"Alose", "AloseABS", "AloseR", "Alose_u25", "Alose_langzeit", "nicht_Alose_Hartz", "Hartz_u15",
"Veraend_HartzEmpf_D", "Veraend_HartzEmpf_Ausl", "Veraend_Hartz_u15", "StaedtWohnungen",
"AlleinerzHH", "Altersarmut", "Armut",
# SanierungsGebiete
"SanGebiet", "SanGebiet_NAME", "SanGebiet_KLASSE",
# Mietdaten
"Miete", "Mietechg", "Mietechgr", "MieteNom",
# Binnenwanderungen
"Fortzuege","Zuzuege","FortzuegeR","ZuzuegeR",
# Außenwanderungen
"FortzuegeU","FortzuegeD","FortzuegeA","FortzuegeUD","FortzuegeDA","FortzuegeUDA",
"FortzuegeUR","FortzuegeDR","FortzuegeAR","FortzuegeUDR","FortzuegeDAR","FortzuegeUDAR",
"ZuzuegeU","ZuzuegeD","ZuzuegeA","ZuzuegeUD","ZuzuegeDA","ZuzuegeUDA",
"ZuzuegeUR","ZuzuegeDR","ZuzuegeAR","ZuzuegeUDR","ZuzuegeDAR","ZuzuegeUDAR")]
remove(LORdataFULLv2)
remove(LORdataFULLv3)
LORdataFULL <- LORdataFULLv4
remove(LORdataFULLv4)
head(LORdataFULL)
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# II.) LOR wide Datensatz ------
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
###### a.) Reshape long to wide ######
LORdataFULL4wide <- arrange(LORdataFULL, RAUMID, ZEIT)
LORdataFULLwidev1 <- reshape(LORdataFULL4wide,
idvar = c("RAUMID", "RAUMID_NAME", "BZR",
"BZR_NAME","PGR", "PRG_NAME","BEZ",
"BEZ_NAME","STADTRAUM","FL_HA","dist2STADTMITTE"),
v.names = c(
# Gesamteinwohner
"E_E",
"E_U18", "E_18U35", "E_15U65", "E_18U65", "E_65U110",
"E_U18R", "E_18U35R", "E_15U65R", "E_18U65R", "E_65U110R",
# Ausländer
# "E_A", "E_AR",
# "E_AU18", "E_A18U65", "E_A65U110",
# "E_AU18R", "E_A18U65R", "E_A65U110R",
# "E_AU18RU18", "E_A18U65R18U65","E_A65U110R65U110",
# Migrationshintergrund
"MH_E", "MH_ER",
"MH_U18", "MH_18U65", "MH_65U110",
"MH_U18R", "MH_18U65R", "MH_65U110R",
"MH_U18RU18", "MH_18U65R18U65","MH_65U110R65U110",
"HK_EU15", "HK_EU27", "HK_Polen",
"HK_EheJug", "HK_EheSU", "HK_Turk", "HK_Arab",
"HK_Sonst",
"HK_EU15R", "HK_EU27R", "HK_PolenR",
"HK_EheJugR", "HK_EheSUR", "HK_TurkR", "HK_ArabR",
"HK_SonstR",
"HK_EU15RMH", "HK_EU27RMH", "HK_PolenRMH",
"HK_EheJugRMH","HK_EheSURMH", "HK_TurkRMH", "HK_ArabRMH",
"HK_SonstRMH",
# Wohndauer
"EINW10", "EINW5",
"DAU10", "DAU5",
"PDAU10", "PDAU5",
"PDAU10chg", "PDAU5chg",
# Wohnlage
# "WLEINFOL", "WLEINFML",
# "WLMITOL", "WLMITML",
# "WLGUTOL", "WLGUTML",
# "WLEINFOLR", "WLEINFMLR",
# "WLMITOLR", "WLMITMLR",
# "WLGUTOLR", "WLGUTMLR",
"WLOL", "WLML",
"WLOLR", "WLMLR",
"WLEINF", "WLMIT", "WLGUT",
"WLEINFR", "WLMITR", "WLGUTR",
"WL",
# Sozialindikatoren
"Alose", "AloseABS", "AloseR", "Alose_u25", "Alose_langzeit", "nicht_Alose_Hartz", "Hartz_u15",
"Veraend_HartzEmpf_D", "Veraend_HartzEmpf_Ausl", "Veraend_Hartz_u15", "StaedtWohnungen",
"AlleinerzHH", "Altersarmut", "Armut",
# SanierungsGebiete
"SanGebiet", "SanGebiet_NAME", "SanGebiet_KLASSE",
# Mietdaten
"Miete", "Mietechg", "Mietechgr", "MieteNom",
# Binnenwanderungen
"Fortzuege","Zuzuege","FortzuegeR","ZuzuegeR",
# Außenwanderungen
"FortzuegeU","FortzuegeD","FortzuegeA","FortzuegeUD","FortzuegeDA","FortzuegeUDA",
"FortzuegeUR","FortzuegeDR","FortzuegeAR","FortzuegeUDR","FortzuegeDAR","FortzuegeUDAR",
"ZuzuegeU","ZuzuegeD","ZuzuegeA","ZuzuegeUD","ZuzuegeDA","ZuzuegeUDA",
"ZuzuegeUR","ZuzuegeDR","ZuzuegeAR","ZuzuegeUDR","ZuzuegeDAR","ZuzuegeUDAR"),
timevar = "ZEIT",
direction = "wide")
#names(LORdataFULLwidev1)
###### b.) Generierung von speziellen WIDE Variablen #####
LORdataFULLwidev2 <- LORdataFULLwidev1
#names(LORdataFULLwidev2)
# ---- Junge Erwachsene ----
LORdataFULLwidev2$E_18U35chg <- LORdataFULLwidev2$E_18U35.2012 - LORdataFULLwidev2$E_18U35.2007
LORdataFULLwidev2$E_18U35Rchg <- LORdataFULLwidev2$E_18U35R.2012 - LORdataFULLwidev2$E_18U35R.2007
# ---- Rentner ----
LORdataFULLwidev2$E_65U110chg <- LORdataFULLwidev2$E_65U110.2012 - LORdataFULLwidev2$E_65U110.2007
LORdataFULLwidev2$E_65U110Rchg <- LORdataFULLwidev2$E_65U110R.2012 - LORdataFULLwidev2$E_65U110R.2007
# ---- Änderung der Wohndauer ----
LORdataFULLwidev2$DAU5chg <- LORdataFULLwidev2$DAU5.2012 - LORdataFULLwidev2$DAU5.2007
LORdataFULLwidev2$DAU10chg <- LORdataFULLwidev2$DAU10.2012 - LORdataFULLwidev2$DAU10.2007
LORdataFULLwidev2$PDAU5chg <- LORdataFULLwidev2$PDAU5.2012 - LORdataFULLwidev2$PDAU5.2007
LORdataFULLwidev2$PDAU10chg <- LORdataFULLwidev2$PDAU10.2012 -LORdataFULLwidev2$PDAU10.2007
# ---- Änderung Wohnlage ----
LORdataFULLwidev2$WLEINFchg <- LORdataFULLwidev2$WLEINF.2012 -LORdataFULLwidev2$WLEINF.2007
LORdataFULLwidev2$WLMITchg <- LORdataFULLwidev2$WLMIT.2012 - LORdataFULLwidev2$WLMIT.2007
LORdataFULLwidev2$WLGUTchg <- LORdataFULLwidev2$WLGUT.2012 - LORdataFULLwidev2$WLGUT.2007
LORdataFULLwidev2$WLEINFRchg <- LORdataFULLwidev2$WLEINFR.2012 -LORdataFULLwidev2$WLEINFR.2007
LORdataFULLwidev2$WLMITRchg <- LORdataFULLwidev2$WLMITR.2012 - LORdataFULLwidev2$WLMITR.2007
LORdataFULLwidev2$WLGUTRchg <- LORdataFULLwidev2$WLGUTR.2012 - LORdataFULLwidev2$WLGUTR.2007
# ---- Änderung Arbeitslosigkeit ----
LORdataFULLwidev2$Alosechg <- LORdataFULLwidev2$Alose.2012 - LORdataFULLwidev2$Alose.2007
LORdataFULLwidev2$Alose_langzeitchg <- LORdataFULLwidev2$Alose_langzeit.2007 - LORdataFULLwidev2$Alose_langzeit.2007
LORdataFULLwidev2$Alose_u25chg <- LORdataFULLwidev2$Alose_u25.2012 - LORdataFULLwidev2$Alose_u25.2007
LORdataFULLwidev2$Hartz_u15chg <- LORdataFULLwidev2$Hartz_u15.2012 - LORdataFULLwidev2$Hartz_u15.2007
LORdataFULLwidev2$nicht_Alose_Hartzchg <- LORdataFULLwidev2$nicht_Alose_Hartz.2012 -LORdataFULLwidev2$nicht_Alose_Hartz.2007
LORdataFULLwidev2$Armutchg <- LORdataFULLwidev2$Armut.2012 - LORdataFULLwidev2$Armut.2007
# ---- Änderung Migrationshintergrunsanteil ----
LORdataFULLwidev2$MH_Echg <- LORdataFULLwidev2$MH_E.2012 - LORdataFULLwidev2$MH_E.2007
LORdataFULLwidev2$MH_ERchg <- LORdataFULLwidev2$MH_ER.2012 - LORdataFULLwidev2$MH_ER.2007
LORdataFULLwidev2$MH_U18chg <- LORdataFULLwidev2$MH_U18.2012 - LORdataFULLwidev2$MH_U18.2007
LORdataFULLwidev2$MH_U18RU18chg <- LORdataFULLwidev2$MH_U18RU18.2012 - LORdataFULLwidev2$MH_U18RU18.2007
LORdataFULLwidev2$MH_65U110R65U110chg <- LORdataFULLwidev2$MH_65U110R65U110.2012 - LORdataFULLwidev2$MH_65U110R65U110.2007
LORdataFULLwidev2$HK_EU15chg <- LORdataFULLwidev2$HK_EU15.2012 - LORdataFULLwidev2$HK_EU15.2007
LORdataFULLwidev2$HK_EU27hg <- LORdataFULLwidev2$HK_EU27.2012 - LORdataFULLwidev2$HK_EU27.2007
LORdataFULLwidev2$HK_Turkchg <- LORdataFULLwidev2$HK_Turk.2012 - LORdataFULLwidev2$HK_Turk.2007
LORdataFULLwidev2$HK_Arabchg <- LORdataFULLwidev2$HK_Arab.2012 - LORdataFULLwidev2$HK_Arab.2007
LORdataFULLwidev2$HK_EheJugchg <- LORdataFULLwidev2$HK_EheJug.2012 - LORdataFULLwidev2$HK_EheJug.2007
LORdataFULLwidev2$HK_EU15Rchg <- LORdataFULLwidev2$HK_EU15R.2012 - LORdataFULLwidev2$HK_EU15R.2007
LORdataFULLwidev2$HK_EU27Rhg <- LORdataFULLwidev2$HK_EU27R.2012 - LORdataFULLwidev2$HK_EU27R.2007
LORdataFULLwidev2$HK_TurkRchg <- LORdataFULLwidev2$HK_TurkR.2012 - LORdataFULLwidev2$HK_TurkR.2007
LORdataFULLwidev2$HK_ArabRchg <- LORdataFULLwidev2$HK_ArabR.2012 - LORdataFULLwidev2$HK_ArabR.2007
LORdataFULLwidev2$HK_EheJugRchg <- LORdataFULLwidev2$HK_EheJugR.2012 - LORdataFULLwidev2$HK_EheJugR.2007
LORdataFULLwidev2$HK_EU15RMHchg <- LORdataFULLwidev2$HK_EU15RMH.2012 - LORdataFULLwidev2$HK_EU15RMH.2007
LORdataFULLwidev2$HK_EU27RMHhg <- LORdataFULLwidev2$HK_EU27RMH.2012 - LORdataFULLwidev2$HK_EU27RMH.2007
LORdataFULLwidev2$HK_TurkRMHchg <- LORdataFULLwidev2$HK_TurkRMH.2012 - LORdataFULLwidev2$HK_TurkRMH.2007
LORdataFULLwidev2$HK_ArabRMHchg <- LORdataFULLwidev2$HK_ArabRMH.2012 - LORdataFULLwidev2$HK_ArabRMH.2007
LORdataFULLwidev2$HK_EheJugRMHchg <- LORdataFULLwidev2$HK_EheJugRMH.2012 - LORdataFULLwidev2$HK_EheJugRMH.2007
# Mietpreisänderung
LORdataFULLwidev2$Mietechg <- LORdataFULLwidev2$Miete.2012 - LORdataFULLwidev2$Miete.2007
LORdataFULLwidev2$Mietechgr <- round(((LORdataFULLwidev2$Miete.2012/LORdataFULLwidev2$Miete.2007)^(1/6)-1)*100,digits=1)
LORdataFULLwidev2$MieteNomchg <- LORdataFULLwidev2$MieteNom.2012 - LORdataFULLwidev2$MieteNom.2007
# ---- Binnenwanderungen ----
LORdataFULLwidev2$Fortzuege <- (LORdataFULLwidev2$Fortzuege.2007 +
LORdataFULLwidev2$Fortzuege.2008 +
LORdataFULLwidev2$Fortzuege.2009 +
LORdataFULLwidev2$Fortzuege.2010 +
LORdataFULLwidev2$Fortzuege.2011 +
LORdataFULLwidev2$Fortzuege.2012)
LORdataFULLwidev2$Zuzuege <- (LORdataFULLwidev2$Zuzuege.2007 +
LORdataFULLwidev2$Zuzuege.2008 +
LORdataFULLwidev2$Zuzuege.2009 +
LORdataFULLwidev2$Zuzuege.2010 +
LORdataFULLwidev2$Zuzuege.2011 +
LORdataFULLwidev2$Zuzuege.2012)
LORdataFULLwidev2$FortzuegeR <- round((LORdataFULLwidev2$FortzuegeR.2007 +
LORdataFULLwidev2$FortzuegeR.2008 +
LORdataFULLwidev2$FortzuegeR.2009 +
LORdataFULLwidev2$FortzuegeR.2010 +
LORdataFULLwidev2$FortzuegeR.2011 +
LORdataFULLwidev2$FortzuegeR.2012)/6,digits=2)
LORdataFULLwidev2$ZuzuegeR <- round((LORdataFULLwidev2$ZuzuegeR.2007 +
LORdataFULLwidev2$ZuzuegeR.2008 +
LORdataFULLwidev2$ZuzuegeR.2009 +
LORdataFULLwidev2$ZuzuegeR.2010 +
LORdataFULLwidev2$ZuzuegeR.2011 +
LORdataFULLwidev2$ZuzuegeR.2012)/6,digits=2)
# ---- Aussenwanderungen ----
#### ___ Aussenwanderungen ____Fortzuege ####
LORdataFULLwidev2$FortzuegeU <- (LORdataFULLwidev2$FortzuegeU.2007 +
LORdataFULLwidev2$FortzuegeU.2008 +
LORdataFULLwidev2$FortzuegeU.2009 +
LORdataFULLwidev2$FortzuegeU.2010 +
LORdataFULLwidev2$FortzuegeU.2011 +
LORdataFULLwidev2$FortzuegeU.2012)
LORdataFULLwidev2$FortzuegeD <- (LORdataFULLwidev2$FortzuegeD.2007 +
LORdataFULLwidev2$FortzuegeD.2008 +
LORdataFULLwidev2$FortzuegeD.2009 +
LORdataFULLwidev2$FortzuegeD.2010 +
LORdataFULLwidev2$FortzuegeD.2011 +
LORdataFULLwidev2$FortzuegeD.2012)
LORdataFULLwidev2$FortzuegeA <- (LORdataFULLwidev2$FortzuegeA.2007 +
LORdataFULLwidev2$FortzuegeA.2008 +
LORdataFULLwidev2$FortzuegeA.2009 +
LORdataFULLwidev2$FortzuegeA.2010 +
LORdataFULLwidev2$FortzuegeA.2011 +
LORdataFULLwidev2$FortzuegeA.2012)
LORdataFULLwidev2$FortzuegeUD <- (LORdataFULLwidev2$FortzuegeUD.2007 +
LORdataFULLwidev2$FortzuegeUD.2008 +
LORdataFULLwidev2$FortzuegeUD.2009 +
LORdataFULLwidev2$FortzuegeUD.2010 +
LORdataFULLwidev2$FortzuegeUD.2011 +
LORdataFULLwidev2$FortzuegeUD.2012)
LORdataFULLwidev2$FortzuegeDA <- (LORdataFULLwidev2$FortzuegeDA.2007 +
LORdataFULLwidev2$FortzuegeDA.2008 +
LORdataFULLwidev2$FortzuegeDA.2009 +
LORdataFULLwidev2$FortzuegeDA.2010 +
LORdataFULLwidev2$FortzuegeDA.2011 +
LORdataFULLwidev2$FortzuegeDA.2012)
LORdataFULLwidev2$FortzuegeUDA <- (LORdataFULLwidev2$FortzuegeUDA.2007 +
LORdataFULLwidev2$FortzuegeUDA.2008 +
LORdataFULLwidev2$FortzuegeUDA.2009 +
LORdataFULLwidev2$FortzuegeUDA.2010 +
LORdataFULLwidev2$FortzuegeUDA.2011 +
LORdataFULLwidev2$FortzuegeUDA.2012)
#### ___ Aussenwanderungen ____Zuzuege ####
LORdataFULLwidev2$ZuzuegeU <- (LORdataFULLwidev2$ZuzuegeU.2007 +
LORdataFULLwidev2$ZuzuegeU.2008 +
LORdataFULLwidev2$ZuzuegeU.2009 +
LORdataFULLwidev2$ZuzuegeU.2010 +
LORdataFULLwidev2$ZuzuegeU.2011 +
LORdataFULLwidev2$ZuzuegeU.2012)
LORdataFULLwidev2$ZuzuegeD <- (LORdataFULLwidev2$ZuzuegeD.2007 +
LORdataFULLwidev2$ZuzuegeD.2008 +
LORdataFULLwidev2$ZuzuegeD.2009 +
LORdataFULLwidev2$ZuzuegeD.2010 +
LORdataFULLwidev2$ZuzuegeD.2011 +
LORdataFULLwidev2$ZuzuegeD.2012)
LORdataFULLwidev2$ZuzuegeA <- (LORdataFULLwidev2$ZuzuegeA.2007 +
LORdataFULLwidev2$ZuzuegeA.2008 +
LORdataFULLwidev2$ZuzuegeA.2009 +
LORdataFULLwidev2$ZuzuegeA.2010 +
LORdataFULLwidev2$ZuzuegeA.2011 +
LORdataFULLwidev2$ZuzuegeA.2012)
LORdataFULLwidev2$ZuzuegeUD <- (LORdataFULLwidev2$ZuzuegeUD.2007 +
LORdataFULLwidev2$ZuzuegeUD.2008 +
LORdataFULLwidev2$ZuzuegeUD.2009 +
LORdataFULLwidev2$ZuzuegeUD.2010 +
LORdataFULLwidev2$ZuzuegeUD.2011 +
LORdataFULLwidev2$ZuzuegeUD.2012)
LORdataFULLwidev2$ZuzuegeDA <- (LORdataFULLwidev2$ZuzuegeDA.2007 +
LORdataFULLwidev2$ZuzuegeDA.2008 +
LORdataFULLwidev2$ZuzuegeDA.2009 +
LORdataFULLwidev2$ZuzuegeDA.2010 +
LORdataFULLwidev2$ZuzuegeDA.2011 +
LORdataFULLwidev2$ZuzuegeDA.2012)
LORdataFULLwidev2$ZuzuegeUDA <- (LORdataFULLwidev2$ZuzuegeUDA.2007 +
LORdataFULLwidev2$ZuzuegeUDA.2008 +
LORdataFULLwidev2$ZuzuegeUDA.2009 +
LORdataFULLwidev2$ZuzuegeUDA.2010 +
LORdataFULLwidev2$ZuzuegeUDA.2011 +
LORdataFULLwidev2$ZuzuegeUDA.2012)
#### ___ Aussenwanderungsquoten ____ Fortzuege ####
LORdataFULLwidev2$FortzuegeUR <- round((LORdataFULLwidev2$FortzuegeUR.2007 +
LORdataFULLwidev2$FortzuegeUR.2008 +
LORdataFULLwidev2$FortzuegeUR.2009 +
LORdataFULLwidev2$FortzuegeUR.2010 +
LORdataFULLwidev2$FortzuegeUR.2011 +
LORdataFULLwidev2$FortzuegeUR.2012)/6,digits=2)
LORdataFULLwidev2$FortzuegeDR <- round((LORdataFULLwidev2$FortzuegeDR.2007 +
LORdataFULLwidev2$FortzuegeDR.2008 +
LORdataFULLwidev2$FortzuegeDR.2009 +
LORdataFULLwidev2$FortzuegeDR.2010 +
LORdataFULLwidev2$FortzuegeDR.2011 +
LORdataFULLwidev2$FortzuegeDR.2012)/6,digits=2)
LORdataFULLwidev2$FortzuegeAR <- round((LORdataFULLwidev2$FortzuegeAR.2007 +
LORdataFULLwidev2$FortzuegeAR.2008 +
LORdataFULLwidev2$FortzuegeAR.2009 +
LORdataFULLwidev2$FortzuegeAR.2010 +
LORdataFULLwidev2$FortzuegeAR.2011 +
LORdataFULLwidev2$FortzuegeAR.2012)/6,digits=2)
LORdataFULLwidev2$FortzuegeUDR <- round((LORdataFULLwidev2$FortzuegeUDR.2007 +
LORdataFULLwidev2$FortzuegeUDR.2008 +
LORdataFULLwidev2$FortzuegeUDR.2009 +
LORdataFULLwidev2$FortzuegeUDR.2010 +
LORdataFULLwidev2$FortzuegeUDR.2011 +
LORdataFULLwidev2$FortzuegeUDR.2012)/6,digits=2)
LORdataFULLwidev2$FortzuegeDAR <- round((LORdataFULLwidev2$FortzuegeDAR.2007 +
LORdataFULLwidev2$FortzuegeDAR.2008 +
LORdataFULLwidev2$FortzuegeDAR.2009 +
LORdataFULLwidev2$FortzuegeDAR.2010 +
LORdataFULLwidev2$FortzuegeDAR.2011 +
LORdataFULLwidev2$FortzuegeDAR.2012)/6,digits=2)
LORdataFULLwidev2$FortzuegeUDAR <- round((LORdataFULLwidev2$FortzuegeUDAR.2007 +
LORdataFULLwidev2$FortzuegeUDAR.2008 +
LORdataFULLwidev2$FortzuegeUDAR.2009 +
LORdataFULLwidev2$FortzuegeUDAR.2010 +
LORdataFULLwidev2$FortzuegeUDAR.2011 +
LORdataFULLwidev2$FortzuegeUDAR.2012)/6,digits=2)
#### ___ Aussenwanderungsquoten ____Zuzuege ####
LORdataFULLwidev2$ZuzuegeUR <- round((LORdataFULLwidev2$ZuzuegeUR.2007 +
LORdataFULLwidev2$ZuzuegeUR.2008 +
LORdataFULLwidev2$ZuzuegeUR.2009 +
LORdataFULLwidev2$ZuzuegeUR.2010 +
LORdataFULLwidev2$ZuzuegeUR.2011 +
LORdataFULLwidev2$ZuzuegeUR.2012)/6,digits=2)
LORdataFULLwidev2$ZuzuegeDR <- round((LORdataFULLwidev2$ZuzuegeDR.2007 +
LORdataFULLwidev2$ZuzuegeDR.2008 +
LORdataFULLwidev2$ZuzuegeDR.2009 +
LORdataFULLwidev2$ZuzuegeDR.2010 +
LORdataFULLwidev2$ZuzuegeDR.2011 +
LORdataFULLwidev2$ZuzuegeDR.2012)/6,digits=2)
LORdataFULLwidev2$ZuzuegeAR <- round((LORdataFULLwidev2$ZuzuegeAR.2007 +
LORdataFULLwidev2$ZuzuegeAR.2008 +
LORdataFULLwidev2$ZuzuegeAR.2009 +
LORdataFULLwidev2$ZuzuegeAR.2010 +
LORdataFULLwidev2$ZuzuegeAR.2011 +
LORdataFULLwidev2$ZuzuegeAR.2012)/6,digits=2)
LORdataFULLwidev2$ZuzuegeUDR <- round((LORdataFULLwidev2$ZuzuegeUDR.2007 +
LORdataFULLwidev2$ZuzuegeUDR.2008 +
LORdataFULLwidev2$ZuzuegeUDR.2009 +
LORdataFULLwidev2$ZuzuegeUDR.2010 +
LORdataFULLwidev2$ZuzuegeUDR.2011 +
LORdataFULLwidev2$ZuzuegeUDR.2012)/6,digits=2)
LORdataFULLwidev2$ZuzuegeDAR <- round((LORdataFULLwidev2$ZuzuegeDAR.2007 +
LORdataFULLwidev2$ZuzuegeDAR.2008 +
LORdataFULLwidev2$ZuzuegeDAR.2009 +
LORdataFULLwidev2$ZuzuegeDAR.2010 +
LORdataFULLwidev2$ZuzuegeDAR.2011 +
LORdataFULLwidev2$ZuzuegeDAR.2012)/6,digits=2)
LORdataFULLwidev2$ZuzuegeUDAR <- round((LORdataFULLwidev2$ZuzuegeUDAR.2007 +
LORdataFULLwidev2$ZuzuegeUDAR.2008 +
LORdataFULLwidev2$ZuzuegeUDAR.2009 +
LORdataFULLwidev2$ZuzuegeUDAR.2010 +
LORdataFULLwidev2$ZuzuegeUDAR.2011 +
LORdataFULLwidev2$ZuzuegeUDAR.2012)/6,digits=2)
LORdataFULLwidev2$OekoVerdraengungA <- LORdataFULLwidev2$Mietechgr*(0.135*6)
LORdataFULLwidev2$OekoVerdraengungA[LORdataFULLwidev2$OekoVerdraengungA<0] <- 0
LORdataFULLwidev2$OekoVerdraengungB <- (LORdataFULLwidev2$Mietechgr*(0.135)/LORdataFULLwidev2$FortzuegeR)*100
LORdataFULLwidev2$OekoVerdraengungB[LORdataFULLwidev2$OekoVerdraengungB<0] <- 0
# ---- _____ Fertiger WIDE Datensatz _____ ----
names(LORdataFULLwidev2)
LORdataWIDE <- LORdataFULLwidev2
#names(LORdataWIDE)
###### c.) Merge LOR Shape file mit LOR Wide FULL Datensatz #########
source("/home/dao/Desktop/MasterArbeit/R_files/functions/merge_with_order_FUNCTION.R")
LORattrFULL <- merge.with.order(LORdf, LORdataWIDE, sort=F,
by.x="RAUMID", by.y="RAUMID",
all.x=T, all.y=T,
keep_order=1)
#View(LORattrFULL)
LOR@data <- LORattrFULL
#LOR@data$E_E.2012
#LOR@data$EWdichte.2012 <- (LOR@data$E_E.2012/LOR@data$FL_HA)*100
#library("sp")
#spplot(LOR, zcol="Miete.2012")
write.dbf(dataframe = LOR@data, file = "/home/dao/Desktop/MasterArbeit/GentriMap/4 Geodaten/LOR/LORinfo.dbf")
#View(LOR@data)
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# III.) Ungültige LORs ausschliessen --> Datensätze für Kategorisierung und Regressionen erstellen ------
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LOR@data <- LORattrFULL
LOR@data$E_E_u300 <- as.factor(ifelse(LOR@data$E_E.2007 < 300,
c("unter 300EW"),
c("über 300EW")))
spplot(LOR, zcol="E_E_u300")
# Für die Regression und Kategorisierung arbeiten wir mit dem Datensatz LOR4reg,
# um im Originaldatensatz LOR keine Daten zu überschreiben
LOR4reg <- LOR
# Wir überschreiben die Miete & Alosingkeit
# mit NAs, damit sie nicht bei der Kategorisierung und Regression mitverwendet werden
LOR4reg@data[LOR4reg@data$E_E_u300=="unter 300EW" |
LOR4reg@data$RAUMID_NAME=="Motardstr." |
LOR4reg@data$RAUMID_NAME=="Herzbergstraße" | # Motardstr. & Herzbergstraße raus wegen zu vielen Umzügen
LOR4reg@data$RAUMID_NAME=="Blankenfelde" | # Blankenfelde raus weil Mietdaten fehlen für 2007 und 2008
LOR4reg@data$RAUMID_NAME=="Blankenburg",][,c("Miete.2007", # Blankenburg raus weil Mietdaten fehlen für 2007 und 2008
"Miete.2012",
"Alose.2007",
"Alose.2012",
"nicht_Alose_Hartz.2007",
"nicht_Alose_Hartz.2012",
"Armut.2007",
"Armut.2012",
"Mietechg",
"Mietechgr",
"Alosechg",
"nicht_Alose_Hartzchg",
"Armutchg",
"Fortzuege",
"Zuzuege",
"FortzuegeR",
"ZuzuegeR",
"FortzuegeU", "FortzuegeD", "FortzuegeA",
"FortzuegeUD","FortzuegeUDA","FortzuegeDA",
"ZuzuegeU","ZuzuegeD","ZuzuegeA",
"ZuzuegeUD","ZuzuegeDA","ZuzuegeUDA",
"FortzuegeUR","FortzuegeDR","FortzuegeAR",
"FortzuegeUDR","FortzuegeDAR","FortzuegeUDAR",
"ZuzuegeUR","ZuzuegeDR","ZuzuegeAR",
"ZuzuegeUDR","ZuzuegeDAR","ZuzuegeUDAR")] <- NA
LOR4reg@data$valid <- as.factor(ifelse(is.na(LOR4reg@data$FortzuegeR),
c("ungültig"),
c("gültig")))
# nur gültige LORs behalten --> subset by valid=="gültig"
LOR4reg <- LOR4reg[LOR4reg$valid=="gültig",]
# update factor levels
LOR4reg@data$RAUMID <- factor(LOR4reg@data$RAUMID)
LOR4reg@data$RAUMID_NAME <- factor(LOR4reg@data$RAUMID_NAME)
LOR4reg@data$BZR <- factor(LOR4reg@data$BZR)
LOR4reg@data$BZR_NAME <- factor(LOR4reg@data$BZR_NAME )
# Shape file für LOR4reg erstellen
LORshape4reg <- SpatialPolygons(LOR4reg@polygons,proj4string=zielCRS)
plot(LORshape4reg)
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# IV.) R Global Environment ausmisten - überflüssige Objekte löschen ------
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
remove(bloecke07, bloecke07_attributes, bloecke07_pt,
bloecke07_ptdf, bloecke08, bloecke08_attributes,
bloecke08_pt, bloecke08_ptdf, bloecke09,
bloecke09_attributes, bloecke09_pt, bloecke09_ptdf,
bloecke10_12, bloecke10_12_pt, bloecke10_12_ptdf,
bloecke2LOR_07, bloecke2LOR_08, bloecke2LOR_09,
bloecke2LOR_10_12, bloeckePLZ07_ptdf, bloeckePLZ08_ptdf,
bloeckePLZ09_ptdf, bloeckePLZ10_12_ptdf,
DF1, DF1b,
DF2, DF3, DF4,
DF5, DF6, DF6a,
DF7, DF8, DF9,
EW_07, EW_07_raw,
ODdf_v7,
PLZ2007, PLZ2008, PLZ2009, PLZ2010, PLZ2011, PLZ2012, PLZ2010_2012)