oaChoose: oaChoose: Taguchi Designs

In r6qualitytools: R6-Based Statistical Methods for Quality Science

oaChoose: Taguchi Designs

Description

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.

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.

Value

oaChoose returns an object of class taguchiDesign.

See Also

• facDesign: for 2^k factorial designs.

• rsmDesign: for response surface designs.

• fracDesign: for fractional factorial design.

• gageRRDesign: for gage designs.

Examples

oaChoose()

r6qualitytools documentation built on Oct. 4, 2024, 1:09 a.m.