Description Usage Format References Examples
A full description of the problem is given in orangejuice
.
This dataset contains samples taken after the machine adjustment was made.
1 |
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.
1 2 3 4 5 6 7 8 | 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)
|
Package 'qcc' version 2.7
Type 'citation("qcc")' for citing this R package in publications.
sample D size trial d
Min. :31.00 Min. : 1.000 Min. :50 Mode :logical Min. :0.0200
1st Qu.:46.75 1st Qu.: 4.000 1st Qu.:50 FALSE:40 1st Qu.:0.0800
Median :62.50 Median : 5.000 Median :50 TRUE :24 Median :0.1000
Mean :62.50 Mean : 5.484 Mean :50 Mean :0.1097
3rd Qu.:78.25 3rd Qu.: 7.000 3rd Qu.:50 3rd Qu.:0.1400
Max. :94.00 Max. :12.000 Max. :50 Max. :0.2400
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