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Sale ends in
dominated
. Given a matrix with one
point per column which.dominated
returns the row numbers of the dominated
points and which.nondominated
the column numbers of the nondominated points.
which.dominated(x)
which.nondominated(x)
matrix
]
Numeric (n x d) matrix where n is the number of points and d is the number
of objectives.integer
]
data(mtcars)
# assume we want to maximize horsepower and minimize gas consumption
cars = mtcars[, c("mpg", "hp")]
cars$hp = -cars$hp
idxs = which.nondominated(as.matrix(cars))
print(mtcars[idxs, ])
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