Mice Depletion Data

Data from Kastenbaum and Lamphiear (1959). The table gives the number of depletions (deaths) in 657 litters of mice, classified by litter size and treatment. This data set has become a classic in the analysis of contingency tables, yet unfortunately little information on the details of the experiment has been published.

Usage

data("Mice")

Format

A frequency data frame with 30 observations on the following 4 variables, representing a 5 x 2 x 3 contingency table.

litter

litter size, a numeric vector

treatment

treatment, a factor with levels A B

deaths

number of depletions, a factor with levels 0 1 2+

Freq

cell frequency, a numeric vector

Source

Goodman, L. A. (1983) The analysis of dependence in cross-classifications having ordered categories, using log-linear models for frequencies and log-linear models for odds. Biometrics, 39, 149-160.

References

Kastenbaum, M. A. & Lamphiear, D. E. (1959) Calculation of chi-square to calculate the no three-factor interaction hypothesis. Biometrics, 15, 107-115.

Examples

data(Mice)
# make a table
ftable(mice.tab <- xtabs(Freq ~ litter + treatment + deaths, data=Mice))
#>                  deaths  0  1 2+
#> litter treatment                
#> 7      A                58 11  5
#>        B                75 19  7
#> 8      A                49 14 10
#>        B                58 17  8
#> 9      A                33 18 15
#>        B                45 22 10
#> 10     A                15 13 15
#>        B                39 22 18
#> 11     A                 4 12 17
#>        B                 5 15  8

#library(vcd)
vcd::mosaic(mice.tab, shade=TRUE)