Two techniques of splitting chips are randomly assigned to 28 sheets so that each technique is applied to 14 sheets. The the number of usable chips from each silicon sheet is stored in the variable number.
CHIPSFormat
A data frame with 28 observations on the following 2 variables:
number(number of usable chips from each silicon sheet)method(a factor with levelstechniqueIandtechniqueII)
References
Ugarte, M. D., Militino, A. F., and Arnholt, A. T. 2015. Probability and Statistics with R, Second Edition. Chapman & Hall / CRC.
Examples
# ggplot2 approach
ggplot(data = CHIPS, aes(sample = number)) + stat_qq() + facet_grid(. ~ method)
ggplot(data = CHIPS, aes(sample = number, color = method)) + stat_qq()
ggplot(data=BODYFAT, aes(x = fat, fill = sex)) + geom_density(alpha = 0.4) +
scale_fill_brewer()
# lattice approach
qqmath(~ number|method, data = CHIPS)
qqmath(~ number, group = method, type = c('p', 'r'), auto.key = TRUE, data = CHIPS)
