ModelRobust: Model Robust Factorial Designs
In daewr: Design and Analysis of Experiments with R
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
Recalls Li and Nachtsheim's model robust factorial designs from a catalog of data frames
Usage
1
ModelRobust(des, randomize=FALSE)
Arguments
des
input- a character variable containing the name of a design in the catalog. If left blank, the function prints a table
showing all the design names in the catalog
randomize
input- a logical
Value
design
Author(s)
John Lawson
References
Li, W. and Nachtsheim, C. J. (2000) "Model Robust factorial Designs", Technometrics, Vol 42, No. 4, pp345-352, 2000.
Examples
1
2
3
4
ModelRobust()
ModelRobust('MR8m4g3')
ModelRobust('MR8m4g3', randomize=TRUE)
daewr documentation built on March 13, 2021, 3:01 a.m.
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Description Usage Arguments Value Author(s) References Examples
Description
Recalls Li and Nachtsheim's model robust factorial designs from a catalog of data frames
Usage
1 | ModelRobust(des, randomize=FALSE)
|
Arguments
des |
input- a character variable containing the name of a design in the catalog. If left blank, the function prints a table showing all the design names in the catalog |
randomize |
input- a logical |
Value
design
Author(s)
John Lawson
References
Li, W. and Nachtsheim, C. J. (2000) "Model Robust factorial Designs", Technometrics, Vol 42, No. 4, pp345-352, 2000.
Examples
1 2 3 4 | ModelRobust()
ModelRobust('MR8m4g3')
ModelRobust('MR8m4g3', randomize=TRUE)
|
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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