This data set contains data from a simulated process of printer cartridge filling. The dataframe contains defects by region of each type of cartridge.
data(ss.data.pc.r)
A data frame with 5 observations on the following 4 variables.
pc.regions
a factor with levels region.1
region.2
region.3
region.4
region.5
pc.def.a
a numeric vector for defects type A
pc.def.b
a numeric vector for defects type B
pc.def
a numeric vector for total defects
See references.
This data set is used in chapter 8 of the book ``Six Sigma with R'' (see 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/.
data(ss.data.pc.r)
summary(ss.data.pc.r)
#> pc.regions pc.def.a pc.def.b pc.def
#> region.1:1 Min. :13.0 Min. :39.0 Min. : 65.0
#> region.2:1 1st Qu.:17.0 1st Qu.:43.0 1st Qu.: 67.0
#> region.3:1 Median :37.0 Median :48.0 Median : 77.0
#> region.4:1 Mean :29.2 Mean :49.4 Mean : 78.6
#> region.5:1 3rd Qu.:38.0 3rd Qu.:54.0 3rd Qu.: 84.0
#> Max. :41.0 Max. :63.0 Max. :100.0