Nothing
sbm.vrs <- function(base= NULL, frontier = NULL, noutput = 1){
if(is.null(frontier))
frontier <- base
if(!is.null(base) & !is.null(frontier)){
base <- as.matrix(base)
frontier <- as.matrix(frontier)
}
if(ncol(base) != ncol(frontier))
stop("Number of columns in base matrix and frontier matrix should be the same!")
s <- noutput
m <- ncol(base) - s
n <- nrow(base)
nf <- nrow(frontier)
front.Y <- t(frontier[, 1:s])
front.X <- t(frontier[, (s+1):(s+m)])
base.Y <- t(base[, 1:s])
base.X <- t(base[, (s+1):(s+m)])
re <- data.frame(matrix(0, nrow = n, ncol = 1 + nf + m + s))
names(re) <- c("eff",
paste("lambda", 1:nf, sep = ""),
paste("slack.x", 1:m, sep = ""),
paste("slack.y", 1:s, sep = ""))
f.dir <- rep("==", 1 + m + s + 1)
f.rhs <- c(1, rep(0, m + s + 1))
for(i in 1:n){
x0 <- base.X[,i]
y0 <- base.Y[,i]
x0[x0 == 0] <- Inf
y0[y0 == 0] <- Inf
f.obj <- c(1, rep(0, nf), -1/m * (1/x0), rep(0, s))
f.con1 <- c(1, rep(0, nf), rep(0, m), 1/s * (1/y0))
f.con2 <- cbind(-x0, front.X, diag(m), matrix(0, m, s))
f.con3 <- cbind(-y0, front.Y, matrix(0, s, m), -diag(s))
f.con <- rbind(f.con1, f.con2, f.con3,
c(-1, rep(1, nf), rep(0, m + s)))
re.tmp <- lp("min", f.obj, f.con, f.dir, f.rhs)
re[i,1] <- re.tmp$objval
re.t <- re.tmp$solution[1]
re[i, 2:(1+nf+m+s)] <- re.tmp$solution[-1]/re.t
}
return(re)
}
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