taguchiDesign: Taguchi Designs

In qualityTools: Statistical Methods for Quality Science

Description

Creates a taguchi design.

Usage

taguchiDesign(design, randomize = TRUE, replicates = 1)

Arguments

design	design needs to be one of the following characters, which specifies the orthogonal array of the taguchi design: “L4_2” for three two-level factors “L8_2” for seven two-level factors “L9_3” for four three-level factors “L12_2” for 11 two-level factors “L16_2” for 16 two-level factors “L16_4” for 16 four-level factors “L18_2_3” for one two-level and seven three-level factors “L25_5” for six five-level factors “L27_3” for 13 three-level factors “L32_2” for 32 two-level factors “L32_2_4” for one two-level factor and nine four-level factors “L36_2_3_a” for 11 two-level factors and 12 three-level factors “L36_2_3_b” for three two-level factors and 13 three-level factors “L50_2_5” for one two-level factor and eleven five-level factors “L8_4_2” for one four-level factor and four two-level factors “L16_4_2_a” for one four-level factor and 12 two-level factors “L16_4_2_b” for two four-level factors and nine two-level factors “L16_4_2_c” for three four-level factors and six two-level factors “L16_4_2_d” for five four-level factors and two two-level factors “L18_6_3” for one six-level factors and six three-level factors
randomize	logical value (‘TRUE’/‘FALSE’) - randomizes the RunOrder of the design. By default randomize is set to ‘TRUE’.
replicates	Integer giving the number of replicates.

Details

an overview of possible taguchi designs is possible with taguchiChoose.

Value

taguchiDesign returns an object of class taguchiDesign.

Note

For an example in context which shows the usage of the function taguchiDesign please read the vignette for the package qualityTools at http://www.r-qualitytools.org/html/Improve.html.

Author(s)

Thomas Roth [e-mail]

References

Box, Bisgard S.G.E.P.; Fung, C. A.: An explanation and critique of taguchis contributions to quality engineering. In: Quality and Reliability Engineering International (1988)

See Also

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

Examples

tdo = taguchiDesign("L9_3")
values(tdo) = list(A = c("material 1","material 2","material 3"), 
                   B = c(29, 30, 35))
names(tdo) = c("Factors", "Are", "Documented", "In The Design")
response(tdo) = rnorm(9)
summary(tdo)
effectPlot(tdo)

Example output

Loading required package: Rsolnp
Loading required package: MASS

Attaching package: 'qualityTools'

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

    sigma

Warning messages:
1: In `[<-`(`*tmp*`, i, value = <S4 object of class "taguchiFactor">) :
  implicit list embedding of S4 objects is deprecated
2: In `[<-`(`*tmp*`, i, value = <S4 object of class "taguchiFactor">) :
  implicit list embedding of S4 objects is deprecated
3: In `[<-`(`*tmp*`, i, value = <S4 object of class "taguchiFactor">) :
  implicit list embedding of S4 objects is deprecated
4: In `[<-`(`*tmp*`, i, value = <S4 object of class "taguchiFactor">) :
  implicit list embedding of S4 objects is deprecated
Taguchi SINGLE Design
Information about the factors:

                 A       B          C             D
value 1 material 1      29          1             1
value 2 material 2      30          2             2
value 3 material 3      35          3             3
name       Factors     Are Documented In The Design
unit                                               
type       numeric numeric    numeric       numeric

-----------

  StandOrder RunOrder Replicate A B C D    rnorm(9)
1          8        1         1 3 2 1 3  0.08085231
2          9        2         1 3 3 2 1 -1.44320735
3          3        3         1 1 3 3 3 -0.12678293
4          7        4         1 3 1 3 2  0.28776216
5          4        5         1 2 1 2 3  0.49027003
6          6        6         1 2 3 1 2 -0.18180008
7          5        7         1 2 2 3 1  0.21033485
8          1        8         1 1 1 1 1 -1.42839009
9          2        9         1 1 2 2 2 -0.08509660

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