lw: Automotive paint formulation

In EngrExpt: Data sets from "Introductory Statistics for Engineering Experimentation"

Description

Automotive paint formulation

Format

A data frame with 24 observations on the following 3 variables.

lw

a numeric vector

comp1

a factor with levels A, B, C and D

comp2

a factor with levels A, B and C

Details

LW (longwave) is a surface appearance measure. This data was from an experiment to choose the best combination of two components in an automotive paint formulation. The goal is to maximize the LW measure.

References

Peter R. Nelson, Marie Coffin and Karen A. F. Copeland (2003), Introductory Statistics for Engineering Experimentation, Elsevier. (Appendix A)

Examples

str(lw)

Example output

Loading required package: lattice
'data.frame':	24 obs. of  3 variables:
 $ lw   : num  10.4 8.7 6.5 8.3 11.5 11.2 5.3 5.9 4.2 5.4 ...
 $ comp1: Factor w/ 4 levels "A","B","C","D": 1 1 1 1 1 1 2 2 2 2 ...
 $ comp2: Factor w/ 3 levels "A","B","C": 1 1 2 2 3 3 1 1 2 2 ...

EngrExpt documentation built on May 1, 2019, 9:15 p.m.