Measures the separation of design rows under Euclidean distance. The
criterion is an inverse-distance p-norm, so smaller values indicate a more
space-filling design.
Usage
magp_quantitative_criterion(quantity, p = 15L)
Arguments
- quantity
Numeric matrix or data frame with values in [0, 1].
- p
Positive whole-number exponent controlling emphasis on the
shortest pairwise distances.
Value
One numeric criterion value. Smaller values are preferred. A design
with duplicate rows has value Inf.
Examples
quantity <- cbind(
c(0.125, 0.375, 0.625, 0.875),
c(0.625, 0.125, 0.875, 0.375)
)
magp_quantitative_criterion(quantity)
#> [1] 1.962421