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Merging_Macro_Parameters.R
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## Graphs
# Load Packages
check.packages <- function(pkg){
new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
if (length(new.pkg))
install.packages(new.pkg, dependencies = TRUE)
sapply(pkg, require, character.only = TRUE) }
# Packages need to be installed
packages<-c("data.table",
"huxtable",
"citr",
"ggrepel",
"tibble",
"gganimate",
"reshape2",
"GGally",
"network",
"sna",
"decompr",
"wiod",
"gvc",
"tidyr",
"ggplot2",
"readxl",
"dplyr",
"tidyverse")
check.packages(packages)
# Load Files
# This files have attached in this project
Country_Categories <- read_excel("../Country_Categories.xls")
GDP_World <- read_excel("../GDP_World.xls")
GDPChange_World <- read_excel("../GDPChange_World.xlsx")
BEC <- read_excel("../BEC.xlsx")
CO2 <- read_excel("../CO2 emissions - Overall.xlsx")
EREU <- read_excel("../EREU.xlsx")
GDP_perCap <- read_excel("../WorldBank_GDP.xlsx")
load("F:/../VA.RData")
C_Mean_Power_VA<-C_Mean_Power
C_Wgted_Power_VA<-C_Wgted_Power
load("F:/../DVA.RData")
C_Mean_Power_DVA<-C_Mean_Power
C_Wgted_Power_DVA<-C_Wgted_Power
#VA
C_Mean_Power_VA_P<-C_Mean_Power_VA [,
c('Exporting_Country',
'year',
'Power_Dir',
'Power_Dir_Ind'
)
]
C_Wgted_Power_VA_P<-C_Wgted_Power_VA [,
c('Exporting_Country',
'year',
'Power_Dir',
'Power_Dir_Ind'
)
]
C_Mean_Power_VA_C<-C_Mean_Power_VA [,
c('Exporting_Country',
'year',
'Constraint_Dir',
'Constraint_Ind'
)
]
C_Wgted_Power_VA_C<-C_Wgted_Power_VA [,
c('Exporting_Country',
'year',
'Constraint_Dir',
'Constraint_Ind'
)
]
C_Wgted_Power_VA_P<-gather(C_Wgted_Power_VA_P,"Power_Type","Power_Value",3:4)
C_Wgted_Power_VA_C<-gather(C_Wgted_Power_VA_C,"Constraint_Type","Constraint_Value",3:4)
C_Wgted_Power_VA_P <- C_Wgted_Power_VA_P %>%
mutate(United = ifelse(Power_Type == "Power_Dir", 1,0))%>% na.omit
C_Wgted_Power_VA_C <- C_Wgted_Power_VA_C %>%
mutate(United = ifelse(Constraint_Type == "Constraint_Dir", 1,0))%>% na.omit
C_Wgted_Power_VA<-inner_join(C_Wgted_Power_VA_P, C_Wgted_Power_VA_C, by=c( "Exporting_Country","year","United"))
C_Mean_Power_VA_P<-gather(C_Mean_Power_VA_P,"Power_Type","Power_Value",3:4)
C_Mean_Power_VA_C<-gather(C_Mean_Power_VA_C,"Constraint_Type","Constraint_Value",3:4)
C_Mean_Power_VA<-inner_join(C_Mean_Power_VA_P, C_Mean_Power_VA_C, by=c( "Exporting_Country","year"))
C_Mean_Power_VA_P <- C_Mean_Power_VA_P %>%
mutate(United = ifelse(Power_Type == "Power_Dir", 1,0))%>% na.omit
C_Mean_Power_VA_C <- C_Mean_Power_VA_C %>%
mutate(United = ifelse(Constraint_Type == "Constraint_Dir", 1,0))%>% na.omit
C_Mean_Power_VA<-inner_join(C_Mean_Power_VA_P, C_Mean_Power_VA_C, by=c( "Exporting_Country","year","United"))
C_Wgted_Power_VA<-C_Wgted_Power_VA%>%mutate(Avg_Type="Weighted",Trade="VA")
C_Mean_Power_VA<-C_Mean_Power_VA%>%mutate(Avg_Type="Mean",Trade="VA")
C_Power_VA<-rbind(C_Wgted_Power_VA,C_Mean_Power_VA)
#DVA
C_Mean_Power_DVA_P<-C_Mean_Power_DVA [,
c('Exporting_Country',
'year',
'Power_Dir',
'Power_Dir_Ind'
)
]
C_Wgted_Power_DVA_P<-C_Wgted_Power_DVA [,
c('Exporting_Country',
'year',
'Power_Dir',
'Power_Dir_Ind'
)
]
C_Mean_Power_DVA_C<-C_Mean_Power_DVA [,
c('Exporting_Country',
'year',
'Constraint_Dir',
'Constraint_Ind'
)
]
C_Wgted_Power_DVA_C<-C_Wgted_Power_DVA [,
c('Exporting_Country',
'year',
'Constraint_Dir',
'Constraint_Ind'
)
]
C_Wgted_Power_DVA_P<-gather(C_Wgted_Power_DVA_P,"Power_Type","Power_Value",3:4)
C_Wgted_Power_DVA_C<-gather(C_Wgted_Power_DVA_C,"Constraint_Type","Constraint_Value",3:4)
C_Wgted_Power_DVA_P <- C_Wgted_Power_DVA_P %>%
mutate(United = ifelse(Power_Type == "Power_Dir", 1,0))%>% na.omit
C_Wgted_Power_DVA_C <- C_Wgted_Power_DVA_C %>%
mutate(United = ifelse(Constraint_Type == "Constraint_Dir", 1,0))%>% na.omit
C_Wgted_Power_DVA<-inner_join(C_Wgted_Power_DVA_P, C_Wgted_Power_DVA_C, by=c( "Exporting_Country","year","United"))
C_Mean_Power_DVA_P<-gather(C_Mean_Power_DVA_P,"Power_Type","Power_Value",3:4)
C_Mean_Power_DVA_C<-gather(C_Mean_Power_DVA_C,"Constraint_Type","Constraint_Value",3:4)
C_Mean_Power_DVA_P <- C_Mean_Power_DVA_P %>%
mutate(United = ifelse(Power_Type == "Power_Dir", 1,0))%>% na.omit
C_Mean_Power_DVA_C <- C_Mean_Power_DVA_C %>%
mutate(United = ifelse(Constraint_Type == "Constraint_Dir", 1,0))%>% na.omit
C_Mean_Power_DVA<-inner_join(C_Mean_Power_DVA_P, C_Mean_Power_DVA_C, by=c( "Exporting_Country","year","United"))
rm(C_Wgted_Power_DVA_P,C_Wgted_Power_DVA_C,C_Mean_Power_DVA_P,C_Mean_Power_DVA_C)
C_Wgted_Power_DVA<-C_Wgted_Power_DVA%>%mutate(Avg_Type="Weighted",Trade="DVA")
C_Mean_Power_DVA<-C_Mean_Power_DVA%>%mutate(Avg_Type="Mean",Trade="DVA")
C_Power_DVA<-rbind(C_Wgted_Power_DVA,C_Mean_Power_DVA)
#Combine VA and DVA
C_Power<-rbind(C_Power_DVA,C_Power_VA)
rm(C_Mean_Power_DVA,
C_Mean_Power_VA,
C_Mean_Power_DVA_C,
C_Mean_Power_DVA_P,
C_Mean_Power_VA_C,
C_Mean_Power_VA_P,
C_Wgted_Power_DVA,
C_Wgted_Power_VA,
C_Wgted_Power_DVA_C,
C_Wgted_Power_DVA_P,
C_Wgted_Power_VA_C,
C_Wgted_Power_VA_P,
C_Power_DVA,
C_Power_VA,Depen_Co)
C_Power<-unite(C_Power,Type,3,7,8, remove = FALSE)
save.image("F:/../Graph_Data_Shaping.RData")