EngrExpt: cure – R documentation

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cure

Yield from a chemical curing process

Description

Process engineers wish to determine a “bake window”, the combination of time and temperature in a curing process, that will maximize the yield of the product.

Format

A data frame with 18 observations on the following 3 variables.

time: time - an ordered factor with levels 20 < 40
temp: temperature - an ordered factor with levels Low < Med < High
yield: yield of parts

References

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

Examples

str(cure)
dotplot(temp ~ yield, cure, groups = time, type = c("p","a"),
        jitter.y = TRUE, xlab = "Yield of parts")
summary(fm1 <- lm(yield ~ time * temp, cure))

EngrExpt

Data sets from "Introductory Statistics for Engineering Experimentation"

v0.1-8

GPL (>= 2)

Authors

R port by Douglas Bates <bates@stat.wisc.edu> and Karen A.F. Copeland <karen@boulderstats.com>

Initial release

2009-08-21