CHIPS: Silicon Chips

In PASWR2: Probability and Statistics with R, Second Edition

Description

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.

Usage

CHIPS

Format

A data frame with 28 observations on the following 2 variables:

• number (number of usable chips from each silicon sheet)

• method (a factor with levels techniqueI and techniqueII)

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)

PASWR2 documentation built on Sept. 5, 2021, 5:44 p.m.