Description Usage Format Details Source References Examples
The data come from an experiment to study the gain in weight of rats fed on four different diets, distinguished by amount of protein (low and high) and by source of protein (beef and cereal).
1 
A data frame with 40 observations on the following 3 variables:
proteinsource
(a factor with levels Beef
and Cereal
)
proteinamount
(a factor with levels High
and Low
)
weightgain
(weight gained in grams)
The design of the experiment is a completely randomized design with ten rats in each of the four treatments.
Hand, D. J., F. Daly, A. D. Lunn, K. J. McConway, and E. Ostrowski. 1994. A Handbook of Small Datasets. Chapman and Hall/CRC, London.
Ugarte, M. D., Militino, A. F., and Arnholt, A. T. 2015. Probability and Statistics with R, Second Edition. London: Chapman & Hall.
1 2 3  ggplot(data = WEIGHTGAIN, aes(x = proteinamount, y = weightgain,
fill = proteinsource)) + geom_boxplot()
aov(weightgain ~ proteinsource*proteinamount, data = WEIGHTGAIN)

Loading required package: lattice
Loading required package: ggplot2
Call:
aov(formula = weightgain ~ proteinsource * proteinamount, data = WEIGHTGAIN)
Terms:
proteinsource proteinamount proteinsource:proteinamount
Sum of Squares 220.9 1299.6 883.6
Deg. of Freedom 1 1 1
Residuals
Sum of Squares 8049.4
Deg. of Freedom 36
Residual standard error: 14.95307
Estimated effects may be unbalanced
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