titanicgrp {COUNT} | R Documentation |
titanicgrp
Description
The data is an grouped version of the 1912 Titanic passenger survival log,
Usage
data(titanicgrp)
Format
A data frame with 12 observations on the following 5 variables.
survive
number of passengers who survived
cases
number of passengers with same pattern of covariates
age
1=adult; 0=child
sex
1=Male; 0=female
class
ticket class 1= 1st class; 2= second class; 3= third class
Details
titanicgrp 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
library(MASS)
library(msme)
data(titanicgrp)
glmlr <- glm(survive ~ age + sex + factor(class) + offset(log(cases)),
family=poisson, data=titanicgrp)
summary(glmlr)
exp(coef(glmlr))
lcases <- titanicgrp$cases
nb2o <- nbinomial(survive ~ age + sex + factor(class),
formula2 =~ age + sex,
offset = lcases,
mean.link="log",
scale.link="log_s",
data=titanicgrp)
summary(nb2o)
exp(coef(nb2o))
[Package COUNT version 1.3.4 Index]