WEIGHTGAIN: Weight Gain in Rats

In PASWR2: Probability and Statistics with R, Second Edition

Description

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).

Usage

WEIGHTGAIN

Format

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)

Details

The design of the experiment is a completely randomized design with ten rats in each of the four treatments.

Source

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.

References

Ugarte, M. D., Militino, A. F., and Arnholt, A. T. 2015. Probability and Statistics with R, Second Edition. London: Chapman & Hall.

Examples

ggplot(data = WEIGHTGAIN, aes(x = proteinamount, y = weightgain, 
fill = proteinsource)) + geom_boxplot()
aov(weightgain ~ proteinsource*proteinamount, data = WEIGHTGAIN)

Example output

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

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