map.soa.hdf {DJL}

SOA mapping using HDF

Description

Employs dm.hdf over time to generate a state-of-the-art map.

Usage

map.soa.hdf(xdata, ydata, date,
            rts="crs", wd=NULL, sg="ssm", cv="convex", mk="dmu")

Arguments

xdata

Input(s) vector (n by m)

ydata

Output(s) vector (n by s)

date

Production date (n by 1)

rts

Returns to scale assumption
"crs" Constant RTS (default)
"vrs" Variable RTS
"irs" Increasing RTS
"drs" Decreasing RTS

wd

Weak disposability vector indicating (an) undesirable output(s) (1 by s)

sg

Employs second-stage optimization
"ssm" Slack-sum maximization (default)
"max" Date-sum maximization (only if date is defined)
"min" Date-sum minimization (only if date is defined)

cv

Convexity assumption
"convex" Convexity holds (default)
"fdh" Free disposal hull (this will override rts)

mk

Marker on the map
"dmu" DMU index (default)
"eff" Efficiency score

Author(s)

Dong-Joon Lim, PhD

References

D.-J. Lim, Internal combustion engine race: naturally aspirated vs turbo/super-charged, working paper (2015).

See Also

map.soa.ddf SOA mapping using DDF
map.soa.dea SOA mapping using DEA
map.soa.hdf SOA mapping using HDF
map.soa.sbm SOA mapping using SBM
map.soa.sf SOA mapping using SF

Examples

# Load engine dataset
  df <- dataset.engine.2015

# Subset for SC/TC 8 cylinder engines
  stc.8 <- subset(df, grepl("^.C..", df[, 8]) & df[, 3] == 8)

# Parameters
  x <- subset(stc.8, select = 4)
  y <- subset(stc.8, select = 5:7)
  d <- subset(stc.8, select = 2)

# Generate an SOA map
  map.soa.hdf(x, y, d, "vrs")