## titanic

### Description

The data is an observation-based version of the 1912 Titanic passenger survival
log,

### Usage

`data(titanic)`

### Format

A data frame with 1316 observations on the following 4 variables.

`class`

a factor with levels `1st class`

`2nd class`

`3rd class`

`crew`

`age`

a factor with levels `child`

`adults`

`sex`

a factor with levels `women`

`man`

`survived`

a factor with levels `no`

`yes`

### Details

titanic is saved as a data frame.
Used to assess risk ratios

### Source

Found in many other texts

### References

Hilbe, Joseph M (2014), Modeling Count Data, Cambridge University Press
Hilbe, Joseph M (2007, 2011), Negative Binomial Regression, Cambridge University Press
Hilbe, Joseph M (2009), Logistic Regression Models, Chapman & Hall/CRC

### Examples

```
data(titanic)
titanic$survival <- titanic$survived == "yes"
glmlr <- glm(survival ~ age + sex + factor(class), family=binomial, data=titanic)
summary(glmlr)
```