Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

OptPB

Optimum Plackett-Burman Designs


Description

Selects the columns from a Plackett-Burman Design Produced by FrF2 that will minimize model dependence for main effects and two factor interactions and returns the design in a data frame

Usage

OptPB(nruns, nfactors, randomize=FALSE)

Arguments

nruns

input- an integer representing the number of runs in the design

nfactors

input - in integer representing the number of factors in the design

randomize

input - logical

Value

design

Author(s)

John Lawson

References

Fairchild, K. (2011) "Screening Designs that Minimize Model Dependence", MS Project Department of Statistics Brigham Young University, Dec. 2011.

Examples

OptPB(12,8)

daewr

Design and Analysis of Experiments with R

v1.2-7
GPL-2
Authors
John Lawson [aut, cre], Gerhard Krennrich [aut]
Initial release
2021-2-18

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.