taguchiChoose: Taguchi Designs

Shows a matrix of possible taguchi designs

Usage

taguchiChoose(
  factors1 = 0,
  factors2 = 0,
  level1 = 0,
  level2 = 0,
  ia = 0,
  col = 2,
  randomize = TRUE,
  replicates = 1
)

Arguments

factors1

Integer number of factors on level1. By default set to `0`.

factors2

Integer number of factors on level2. By default set to `0`.

level1

Integer number of levels on level1. By default set to `0`.

level2

Integer number of levels on level2. By default set to `0`.

ia

Integer number of interactions. By default set to `0`.

col

Select the color scheme for the selection matrix: use 1 for blue, 2 for pink (default), and 3 for a variety of colors.

randomize

A logical value (TRUE/FALSE) that specifies whether to randomize the RunOrder of the design. By default, randomize is set to TRUE.

replicates

An integer specifying the number of replicates for each run in the design.

Value

taguchiChoose returns an object of class taguchiDesign.

Details

taguchiChoose 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

tdo1 <- taguchiChoose()

#> 
#> Choose a taguchi design by clicking into the appropriate field
#> Waiting for your selection:
#> 
tdo1 <- taguchiChoose(factors1 = 3, level1 = 2)
#> 3 factors on 2 levels and 0 factors on 0 levels with 0 desired interactions to be estimated
#> 

#> 
#> Choose a possible taguchi design by clicking into the appropriate field
#> Waiting for your selection:
#>