A data frame with 18 observations of the amount of the CTQ compound in some pastries from a bakery. There are two runs for each combination of two factors (laboratory and batch).

data(ss.data.pastries)

Format

A data frame with 18 observations on the following 4 variables.

lab

laboratory: a factor with levels 1 2 3

batch

batch: a factor with levels 1 2 3

run

identifies the run: a factor with levels 1 2

comp

proportion of the compound in the pastry: a numeric vector

Source

See references.

Note

This data set is used in chapter 5 exercises 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.pastries)
summary(ss.data.pastries)
#>  lab   batch run        comp       
#>  1:6   1:6   1:9   Min.   :0.2343  
#>  2:6   2:6   2:9   1st Qu.:0.2391  
#>  3:6   3:6         Median :0.2497  
#>                    Mean   :0.2560  
#>                    3rd Qu.:0.2781  
#>                    Max.   :0.2821  
lattice::xyplot(comp ~ lab | batch, data = ss.data.pastries)