calcILO <- function(x,subtype){
x <- readSource("ILO")
x[is.na(x)] <- 0
if(subtype=="Reliable")
{
x <- x[,,"Unreliable",pmatch=T,invert=T]
x[,,"Oil and Gas. "] <- x[,,"Oil and Gas. "]+x[,,"Oil and Gas.Break in series"]
x[,,"Coal and Lignite. "] <- x[,,"Coal and Lignite. "]+x[,,"Coal and Lignite.Break in series"]
x <- x[,,c("Oil and Gas. ","Coal and Lignite. ")]
x <- collapseNames(x)
x <- magpiesort(x)
}
if(subtype=="all"){ # containts both unreliable and "break in series" labels
x[,,"Oil and Gas. "] <- dimSums(x[,,"Oil and Gas",pmatch=T])
x[,,"Coal and Lignite. "] <- dimSums(x[,,"Coal and Lignite",pmatch=T])
x <- x[,,c("Oil and Gas. ","Coal and Lignite. ")]
x <- collapseNames(x)
x <- magpiesort(x)
}
return(list(
x=x,
weight=NULL,
unit="000s",
description="Employment in coal and lignite or oil and gas"))
}
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