designLHD: From SPOT package 2.5.0 : designLHD and designLHDNorm...

In leca-dev/RFate: FATE with R

From SPOT package 2.5.0 : designLHD and designLHDNorm functions

Description

From SPOT package 2.5.0 : designLHD and designLHDNorm functions

Usage

designLHDNorm(dim, size, calcMinDistance = FALSE, nested = NULL, 
inequalityConstraint = NULL)
designLHD(x = NULL, lower, upper, control = list())

Arguments

dim	number, dimension of the problem (will be no. of columns of the result matrix)
size	number of points with that dimension needed. (will be no. of rows of the result matrix).
calcMinDistance	Boolean to indicate whether a minimal distance should be calculated.
nested	nested design to be considered during distance calculation.
inequalityConstraint	inequality constraint function, smaller zero for infeasible points. Used to replace infeasible points with random points. Has to evaluate points in interval [0;1].
x	optional matrix x, rows for points, columns for dimensions. This can contain one or more points which are part of the design, but specified by the user. These points are added to the design, and are taken into account when calculating the pair-wise distances. They do not count for the design size. E.g., if x has two rows, control$replicates is one and control$size is ten, the returned design will have 12 points (12 rows). The first two rows will be identical to x. Only the remaining ten rows are guaranteed to be a valid LHD.
lower	vector with lower boundary of the design variables (in case of categorical parameters, please map the respective factor to a set of contiguous integers, e.g., with lower = 1 and upper = number of levels)
upper	vector with upper boundary of the design variables (in case of categorical parameters, please map the respective factor to a set of contiguous integers, e.g., with lower = 1 and upper = number of levels)
control	list of controls: see designLHD

See Also

designLHD

leca-dev/RFate documentation built on Sept. 19, 2024, 6:09 a.m.