mbrdsim: A function to set up a design for a given set of factors with...

In solvsa/simrel: Linear Model Data Simulation and Design of Computer Experiments

Description

The multi-level binary replacement (MBR) design approach is used here in order to facilitate the investigation of the effects of the data properties on the performance of estimation/prediction methods. The mbrdsim function takes as input a list containing a set of factors with their levels. The output is an MBR-design with the combinations of the factor levels to be run.

Usage

	mbrdsim(simlist, fraction, gen=NULL)

Arguments

simlist	A named list containing the levels of a set of (multi-level) factors.
fraction	Design fraction at bit-level. Full design: fraction=0, half-fraction: fraction=1, and so on.
gen	Generators for the fractioning at the bit level. Default is NULL for which the generators are chosen automatically by the FrF2 function. See documentation of FrF2 for details on how to set the generators.

Value

BitDesign	The design at bit-factor level. The object is of class design, as output from FrF2. Function design.info() can be used to get extra design info of the bit-design. The bit-factors are named.numbered if the input factor list is named.
Design	The design at original factor level, non-randomized. The factors are named if the input factor list is named.

Author(s)

Solve S<c3><a6>b<c3><b8>

References

Martens, H., M<c3><a5>ge, I., T<c3><b8>ndel, K., Isaeva, J., H<c3><b8>y, M. and S<c3><a6>b<c3><b8><c2><b8>, S., 2010, Multi-level binary replacement (MBR) design for computer experiments in high-dimensional nonlinear systems, J, Chemom, 24, 748–756.

Examples

#Input: A list of factors with their levels (number of levels must be a multiple of 2).
simlist <- list(R2=c(0.5,0.9), 
                pos = c(12,45),
                gamma = c(0.1, 0.9),
                comp = 1:8,
                alpha = c(0.01, 0.05, 0.1, 0.25))

# A 1/8 design
des <- mbrdsim(simlist, fraction=3)
#Setting generators manually as interactions between base bit-level factors.
des <- mbrdsim(simlist, fraction=3, gen=list(c(1,2,4,5),c(2,3,5),c(3,4,5)))

#The MBRD-design at original factor level
des$Design

#Info about the bit-design including bit-level aliasing (and resolution if \code{gen = NULL})
#Not run
#library(DoE.base)
#design.info(des$BitDesign)

solvsa/simrel documentation built on May 30, 2019, 6:27 a.m.