oaChoose: Taguchi Designs

Shows a matrix of possible taguchi designs.

Usage

oaChoose(factors1, factors2, level1, level2, ia)

Arguments

factors1

Number of factors on level1.

factors2

Number of factors on level2.

level1

Number of levels on level1.

level2

Number of levels on level2.

ia

Number of interactions.

Value

oaChoose returns an object of class taguchiDesign.

Details

oaChoose returns possible taguchi designs. Specifying the number of factor1 factors with level1 levels (factors1 = 2, level1 = 3 means 2 factors with 3 factor levels) and factor2 factors with level2 levels and desired interactions one or more taguchi designs are suggested. If all parameters are set to `0`, a matrix of possible taguchi designs is shown.

See also

• facDesign: for 2^k factorial designs.

• rsmDesign: for response surface designs.

• fracDesign: for fractional factorial design.

• gageRRDesign: for gage designs.

Examples

oaChoose()

#> 
#> Choose a taguchi design by clicking into the appropriate field
#> Waiting for your selection:
#> 
#>   StandOrder RunOrder Replicate A B C  y
#> 1          4        1         1 2 2 1 NA
#> 2          3        2         1 2 1 2 NA
#> 3          1        3         1 1 1 1 NA
#> 4          2        4         1 1 2 2 NA