#' Convert WDI
#'
#' Convert WDI converts data from readWDI() to ISO country level. Adds Taiwan
#' as difference from global total.
#'
#'
#' @param x MAgPIE object containing WDI data region resolution
#' @param subtype Name of the worldbank indicator, e.g. "SP.POP.TOTL"
#' @return MAgPIE object of the WDI data disaggregated to country level
#' @author Jan Phillip Dietrich, Benjamin Bodirsky, Xiaoxi Wang
#' @examples
#'
#' \dontrun{ a <- convertWDI(x)
#' }
#' @importFrom magclass getCells<-
#' @importFrom countrycode countrycode
convertWDI<-function(x,subtype){
WDI_data <- WDI::WDI_data
# changing scale of indicators
if (subtype %in% c("SP.POP.TOTL","NY.GDP.MKTP.PP.KD","NY.GDP.MKTP.PP.CD",
"NY.GDP.MKTP.CD","NY.GDP.MKTP.KD","NY.GDP.MKTP.KN",
"NV.AGR.TOTL.KD", "NV.AGR.TOTL.CD")) {
x <- x/1000000
#Kosovo added to Serbia
x["RS",,] <- dimSums(x[c("RS","XK"),,],dim=1,na.rm=T)
}else if (subtype %in% WDI_data$series[,"indicator"]){
# include c("SP.URB.TOTL.IN.ZS", "EN.POP.DNST", "AG.SRF.TOTL.K2", "NE.CON.PRVT.PC.KD", "NE.CON.PRVT.PP.CD","NE.CON.PRVT.PP.KD")
vcat("Warning: Kosovo left out of conversion and has differing population values from FAO", verbosity=2)
x <- x
}else {
stop("subtype does not exist in the dataset!")
}
y <- x
JG <- "JEY"
names(JG) <- "JG"
getCells(y)<-countrycode(getCells(y),"iso2c","iso3c", custom_match = JG)
y<-y[!is.na(getCells(y)),,]
y<-clean_magpie(y)
y<-y["ANT",,,invert=TRUE]
y<-toolCountryFill(y,fill = 0)
y[is.na(y)]<-0
y <- y[,sort(getYears(y)),]
#remove years which only contain 0s as entries
y <- y[,!apply(y,2,function(x) return(all(x==0))),]
## taiwan only listed in global totals, not explicetly
#world<- colSums(y,na.rm=T)
#taiwan<-x["1W",,] - world
#y["TWN",,]<-colSums(taiwan,na.rm=T)
y<-y[,sort(getYears(y)),]
return(y)
}
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