Mice | R Documentation |
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.
data("Mice")
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
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.
Kastenbaum, M. A. & Lamphiear, D. E. (1959) Calculation of chi-square to calculate the no three-factor interaction hypothesis. Biometrics, 15, 107-115.
data(Mice)
# make a table
ftable(mice.tab <- xtabs(Freq ~ litter + treatment + deaths, data=Mice))
#library(vcd)
vcd::mosaic(mice.tab, shade=TRUE)
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