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COUNT (version 1.3.2)

titanic: titanic

Description

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

Usage

data(titanic)

Arguments

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

Source

Found in many other texts

Details

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

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

Run this code

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

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