Chips: Silicon Chips

ChipsR Documentation

Silicon Chips


Two techniques of splitting chips are randomly assigned to 28 sheets so that each technique is applied to 14 sheets. The values recorded in Chips are the number of usable chips from each silicon sheet.


A data frame with 14 observations on the following 2 variables:


number of usable chips


number of usable chips


Ugarte, M. D., Militino, A. F., and Arnholt, A. T. (2008) Probability and Statistics with R. Chapman & Hall/CRC.


par(mfrow = c(1, 2))
with(data = Chips, qqnorm(techniqueI))
with(data = Chips, qqline(techniqueI))
with(data = Chips, qqnorm(techniqueII))
with(data = Chips, qqline(techniqueII))
par(mfrow=c(1, 1))
# Trellis Approach
graph1 <- qqmath(~techniqueI, data = Chips, type=c("p", "r"))
graph2 <- qqmath(~techniqueII, data = Chips, type=c("p", "r"))
print(graph1, split=c(1, 1, 2, 1), more = TRUE)
print(graph2, split=c(2, 1, 2, 1), more = FALSE)
rm(graph1, graph2)

PASWR documentation built on May 15, 2022, 5:05 p.m.