Dear All,
Please consider the code at the end of the email.
Everything is fine in this little example, just I do not know how to
extract the DEA frontier (solid line in the plot).
The reason is that I want to reproduce a more complicated DEA frontier
plot using ggplot2 and I need to understand how I can extract the
frontier data. Alternatively: can anyone reproduce the same plot with ggplot2?
Many thanks
Lorenzo
###########################################à
library(Benchmarking) # load the Benchmarking library
x <- matrix(c(20, 40, 40, 60, 70, 50),ncol=1) #define inputs
y <- matrix(c(20, 30, 50, 40, 60, 20),ncol=1) #define outputs
e_vrs <- dea(x,y, RTS="vrs", ORIENTATION="in")#solve LP problem
eff_dea <- eff(e_vrs) #select efficiency scores from the results in e
dd <- as.data.frame(cbind(x,y))
names(dd) <- c("Input", "Output")
dd$Firm <- LETTERS[1:length(x)]
dd$Input <- as.integer(dd$Input)
dd$Output <- as.integer(dd$Output)
pdf("dea-frontier-vrs.pdf")
par( mar = c(4.5,5, 1, 1) + 0.1)
dea.plot(x,y,RTS="vrs",ORIENTATION="in",txt=LETTERS[1:length(x)],lty="dashed",
xlab="Input", ylab="Output", fex=2,
cex=2,cex.lab=2,cex.axis=2)
dea.plot.frontier(x,y, RTS="vrs", add=T)
text(10,60, "VRS", cex=2)
dev.off()
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