new.distance: Compute the distance matrix of an SSM design.

In SSM: Fit and Analyze Smooth Supersaturated Models

Description

Computes the distance matrix associated with the design held in the design slot of an SSM object. Used in the construction of the metamodel error estimating Gaussian process.

Usage

new.distance(type = "distance", ssm, line.grid = 100)

Arguments

type	(optional) Character. Specifies the distance measure used. Acceptable values are "distance", "line", "product", "area", "proddiff", "smoothdiff".
ssm	An SSM object.
line.grid	(optional). An integer. Specifies the number of points used in the computation of the distance matrix when type = "line".

Details

Implemented types of distance measure are:

• "distance" Standard Euclidean distance.

• "line" The line integral of the smoothness between design points. This is not implemented for data where d > 1.

• "product" The product of the Euclidean distance and the local smoothness at both points.

• "area" The sum of the local smoothness at the points multiplied by the Euclidean distance.

• "proddiff" Multiplies the difference in local smoothness between points by the Euclidean distance.

• "smoothdiff" The difference between the local smoothness of points.

All measures other than "distance" are experimental and should be used with caution.

Value

A matrix.

SSM documentation built on May 1, 2019, 10:09 p.m.