effects (version 3.1-2)

TitanicSurvival: Survival of Passengers on the Titanic

Description

Information on the survival status, sex, age, and passenger class of 1309 passengers in the Titanic disaster of 1912.

Usage

TitanicSurvival

Format

A data frame with 1309 observations on the following 4 variables.

Source

Data set titanic3 from http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/DataSets.

Details

This is part of a larger data set compiled by Thomas Cason. Many additional details are given in the sources cited below.

References

http://www.encyclopedia-titanica.org/ F. E. Harrell, Jr. (2001) Regression Modeling Strategies New York: Springer.

Examples

summary(TitanicSurvival)
  
titanic <- glm(survived ~ (passengerClass + sex + age)^2, 
                data=TitanicSurvival, family=binomial)
  
titanic.all <- allEffects(titanic, typical=median, 
	given.values=c(passengerClass2nd=1/3, passengerClass3rd=1/3, sexmale=0.5))
  	
plot(titanic.all, ticks=list(at=c(.01, .05, seq(.1, .9, by=.2), .95, .99)), 
    ask=FALSE)

plot(effect("passengerClass*sex*age", titanic, xlevels=list(age=0:65)), 
	ticks=list(at=c(.001, .005, .01, .05, seq(.1, .9, by=.2), .95, .99, .995)))