Data for the pizza dough example (robust design)

Source: R/data.R

Experimental data for the scores given to a set of pizza doughs. Noise factors added for robust design.

data(ss.data.doe2)

Format

A data frame with 64 observations on the following 7 variables.

repl

Replication id

flour

Level of flour in the recipe (- +)

salt

Level of salt in the recipe (- +)

bakPow

Level of Baking Powder in the recipe (- +)

temp

Level of temperature in preparation (- +)

time

Level of time in preparation (- +)

score

Scored assigned to the recipe

Source

See references.

Note

This data set is used in chapter 11 of the book ``Six Sigma with R'' (see References).

References

Cano, Emilio L., Moguerza, Javier M. and Redchuk, Andrés. 2012. Six Sigma with R. Statistical Engineering for Process Improvement, Use R!, vol. 36. Springer, New York. https://link.springer.com/book/10.1007/978-1-4614-3652-2/.

Examples

data(ss.data.doe2)
summary(ss.data.doe2)
#>       repl     flour  salt   bakPow temp   time       score      
#>  Min.   :1.0   -:32   -:32   -:32   -:32   -:32   Min.   :0.660  
#>  1st Qu.:1.0   +:32   +:32   +:32   +:32   +:32   1st Qu.:2.585  
#>  Median :1.5                                      Median :3.820  
#>  Mean   :1.5                                      Mean   :3.760  
#>  3rd Qu.:2.0                                      3rd Qu.:5.117  
#>  Max.   :2.0                                      Max.   :6.290  
lattice::bwplot(score ~ temp | time, data = ss.data.doe2)