Description Usage Arguments Value Author(s) References See Also Examples
Employs dm.sf
over time to calculate RoCs. This function is valid only when multiplicative form of directional vector is used.
1 2 
xdata 
Input(s) vector (n by m) 
ydata 
Output(s) vector (n by s) 
date 
Production date (n by 1) 
t 
A vantage point from which the RoC is captured 
rts 
Returns to scale assumption 
g 
Directional vector indicating a measurement direction (n by (m+s)) 
wd 
Weak disposability vector indicating (an) undesirable output(s) (1 by s) 
sg 
Employs secondstage optimization 
ftype 
Frontier type 
cv 
Convexity assumption 

Efficiency at release (i.e., at each production date) 

Efficiency at 

Intensity vector at 

Effective date 

RoC observed from the obsolete DMUs in the past 

Average RoC 

Local RoC 
DongJoon Lim, PhD
D.J. Lim, Internal combustion engine race: naturally aspirated vs turbo/supercharged, working paper (2015).
dm.sf
Distance measure using SF
roc.sf
RoC calculation using SF
map.soa.sf
SOA mapping using SF
target.arrival.sf
Arrival target setting using SF
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  # Reproduce MercedesBenz CLA45 AMG's local RoC in Table 5 in Lim, DJ. (2015)
# Load engine dataset
df < dataset.engine.2015
# Subset for 4 cylinder engines
fce < subset(df, df[, 3] == 4)
# Parameters
x < subset(fce, select = 4)
y < subset(fce, select = 5 : 7)
d < subset(fce, select = 2)
g < as.matrix(data.frame(0, y))
w < matrix(c(1, 0, 0), ncol = 3)
# Calc local Roc
roc.sf(x, y, d, 2014, "crs", g, w, "min")$roc_local[348, ]

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