orderm(base = NULL, frontier = NULL, noutput = 1, orientation=1, M = 25, B = 500)
Arguments
base
A data set for DMUs to be evaluated. A data frame with
J1*(M+N) dimention, where J1 is the number of DMUs, M for the number
of inputs, and N for the number of outputs.
frontier
A data set for DMUs to be used in constructing a
production possibility set (PPS). A data frame with J2*(M+N)
dimention, where J2 is the number of DMUs, M for the number of
inputs, and N for the number of outputs.
noutput
The number of outputs (N).
orientation
Orientation of measurement. 1 for the input-oriented
measure, and 2 for the output-oriented measure.
M
The number of elements in each of the bootstrapped samples.
B
The number of bootstap replicates
Details
See Simar (2003).
Value
A data frame with J1*1 dimention, which shows efficiency scores.
Lee, J. and Oh, D. (forthcoming). Efficiency Analysis: Data
Envelopment Analysis. Press (in Korean).
Simar, L. (2003). Detecting outliers in frontier models: A simple
approach. Journal of Productivity Analysis, 20(3):391-424.
See Also
fdh
Examples
x <- abs(runif(200, min = 0.1, max = 4))
y <- 3*x*abs(rnorm(200))
dat.orderm <- data.frame(y = y, x = x)
dat.orderm.out <- rbind(dat.orderm, c(4, 0.1)) ## add one outlier.
(eff <- orderm(dat.orderm.out, noutput = 1, M = 25, B = 20))