BinaryEPPM (version 2.3)

Titanic.survivors.grouped: Titanic survivors data in frequency distribution form.

Description

These data are from the survival log of the Titanic and consist of the number of survivors out of the number of passengers broken down into age, sex and class categories. The data are in frequency distribution form i.e., a distribution as a list of numbers surviving for each age, sex and class category.

Usage

data("Titanic.survivors.grouped")

Format

The format is: List of 4 $ age : Factor w/ 2 levels "child","adult": 1 2 1 2 1 2 1 2 1 2 ... $ sex : Factor w/ 2 levels "female","male": 1 1 2 2 1 1 2 2 1 1 ... $ pclass : Factor w/ 3 levels "1st class","2nd class",..: 1 1 1 1 2 2 2 2 3 3 ... $ number.survive:List of 12 ..$ : num [1:2] 0 1 ..$ : num [1:145] 0 0 0 0 0 0 0 0 0 0 ... ..$ : num [1:6] 0 0 0 0 0 1 ..$ : num [1:176] 0 0 0 0 0 0 0 0 0 0 ... ..$ : num [1:14] 0 0 0 0 0 0 0 0 0 0 ... ..$ : num [1:94] 0 0 0 0 0 0 0 0 0 0 ... ..$ : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... ..$ : num [1:169] 0 0 0 0 0 0 0 0 0 0 ... ..$ : num [1:32] 0 0 0 0 0 0 0 0 0 0 ... ..$ : num [1:166] 0 0 0 0 0 0 0 0 0 0 ... ..$ : num [1:49] 0 0 0 0 0 0 0 0 0 0 ... ..$ : num [1:463] 0 0 0 0 0 0 0 0 0 0 ...

Details

Hilbe (2011) first models these data as a logistic model, then finding that they are overdispersed, models them as count data (number of survivors, survive) with offset (log of the number of passengers, cases).

References

Hilbe, J. (2011). Negative Binomial Regression. Cambridge University Press, second edition.

Examples

# NOT RUN {
data(Titanic.survivors.grouped)
# }