titgrp

Description

The data is a grouped version of the 1912 Titanic passenger survival log, with individual observations reduced to 12 cases.

Usage

data(titgrp)

Format

A data frame with 12 observations on the following 5 variables.

survive

number of passengers who survived

cases

number of observations having same covariate pattern

age

1=adult; 0=child

sex

1=Male; 0=female

class

ticket class 1= 1st class; 2= second class; 3= third class

Details

titgrp is saved as a data frame. count response=survive; offset=log(cases); can be used as a binomial model as well.

Source

Observation level data Found in many other texts

References

Hilbe, Joseph M (2007, 2011), Negative Binomial Regression, Cambridge University Press Hilbe, Joseph M (2009), Logistic Regression Models, Chapman & Hall/CRC

Examples

data(titgrp)
glmtgp <- glm(survive ~ age + sex + factor(class) + offset(log(cases)), family=poisson, data=titgrp)
summary(glmtgp)
exp(coef(glmtgp))
library(MASS)
glmtgnb <- glm.nb(survive ~ age + sex + factor(class) + offset(log(cases)), data=titgrp)
summary(glmtgnb)
exp(coef(glmtgnb))