Orange juice data – Part 2
A full description of the problem is given in orangejuice.
This dataset contains samples taken after the machine adjustment was made.
data(orangejuice)
A data frame with 64 observations on the following 4 variables:
sample id
number of defectives
sample sizes
trial samples (TRUE/FALSE)
Montgomery, D.C. (1991) Introduction to Statistical Quality Control, 2nd ed, New York, John Wiley & Sons, pp. 155–159.
data(orangejuice2) orangejuice2$d <- orangejuice2$D/orangejuice2$size attach(orangejuice2) summary(orangejuice2) boxplot(d ~ trial) mark <- ifelse(trial, 1, 2) plot(sample, d, type="b", col=mark, pch=mark) detach(orangejuice2)
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