oaChoose: Taguchi Designs

In qualityTools: Statistical Methods for Quality Science

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 for factors1.
level2	number of levels for factors2.
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

Note

TODO:

Author(s)

Thomas Roth [e-mail]

References

TODO:

See Also

facDesign for 2^k factorial designs,
rsmDesign for response surface designs,
fracDesign for fractional factorial design,
gageRRDesign for gage designs
http://www.r-qualitytools.org

Examples

oaChoose()

Example output

Loading required package: Rsolnp
Loading required package: MASS

Attaching package: 'qualityTools'

The following object is masked from 'package:stats':

    sigma

                                                        
1      L4_2    L8_2   L9_3     L12_2     L16_2     L16_4
2   L18_2_3   L25_5  L27_3     L32_2   L32_2_4 L36_2_3_a
3 L36_2_3_b L50_2_5 L8_4_2 L16_4_2_a L16_4_2_b L16_4_2_c
4 L16_4_2_d L18_6_3                                     

Choose a design using e.g. taguchiDesign("L4_2")

qualityTools documentation built on May 2, 2019, 10:21 a.m.