taguchiChoose: Taguchi Designs

In qualityTools: Statistical Methods for Quality Science

Description

Shows a matrix of possible taguchi designs

Usage

taguchiChoose(factors1 = 0, factors2 = 0, level1 = 0, level2 = 0, ia = 0)

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 for factors1.
level2	integer number of levels for factors2. By default set to ‘0’
ia	integer number of interactions. . By default set to ‘0’.

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.

Value

taguchiChoose returns an object of class taguchiDesign.

Note

It is recommended to consult a textbook on taguchi methods to be fully aware of the benefits and limitations that taguchi designs impose.

Author(s)

Thomas Roth [e-mail]

References

http://www.york.ac.uk/depts/maths/tables/taguchi_table.htm

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

taguchiChoose()

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.