target.lrn <- read.table("../lrn/num/472.dat",header=T,colClasses="numeric")
target.val <- read.table("../val/num/472.dat",header=T,colClasses="numeric")
target.tst <- read.table("../tst/num/472.dat",header=T,colClasses="numeric")
 
y.lrn <- target.lrn[,1]
y.val <- target.val[,1]
y.tst <- target.tst[,1]
y     <- c(y.lrn,y.val,y.tst)

n.lrn <- length(y.lrn)
n.val <- length(y.val)
n.tst <- length(y.tst)
n     <- length(y)

rm(target.lrn,target.val,target.tst)

idx.lrn <- 1:n.lrn
idx.val <- (n.lrn+1):(n.lrn+n.val)
idx.tst <- (n.lrn+n.val+1):n

x0 <- c(0,n.lrn)
y0 <- c(0,sum(y.lrn-0.68))

x1 <- (1:n.lrn)
y1 <- y.lrn
y1 <- y1-0.68
y1 <- sort(y1)
y1 <- y1[n.lrn:1]
y1 <- cumsum(y1)

idx <- 1:n.lrn

print(paste("maximum profit in learning sample is ", max(y1)))
print(paste("maximum occurs at ", idx[y1==max(y1)]))

idx <- seq(1,n.lrn,length=200)

x1 <- x1[idx]
y1 <- y1[idx]

source("psopts.r");
postscript(file="cty_lif_pop.eps");

plot(x=c(x0,x1),y=c(y0,y1),ylab="dollars",xlab="size of mailing",type="n")
lines(x=x0,y=y0,col="green")
lines(x=x1,y=y1,col="red")

dev.off()