OptPB: Optimum Plackett-Burman Designs
In daewr: Design and Analysis of Experiments with R
OptPB R Documentation
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.
daewr documentation built on Sept. 9, 2023, 9:06 a.m.
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| OptPB | R Documentation |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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