Titanic {effects} | R Documentation |
Information on the survival status, sex, age, and passenger class of 1309 passengers in the Titanic disaster of 1912.
Titanic
A data frame with 1309 observations on the following 4 variables.
survived
no
or yes
.
sex
female
or male
age
in years (and for some children, fractions of a year); age is missing for 263 of the passengers.
passengerClass
1st
, 2nd
, or 3rd
class.
This is part of a larger data set compiled by Thomas Cason. Many additional details are given in the sources cited below.
Data set titanic3
from
http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/DataSets.
http://www.encyclopedia-titanica.org/
F. E. Harrell, Jr. (2001) Regression Modeling Strategies New York: Springer.
summary(Titanic) titanic <- glm(survived ~ (passengerClass + sex + age)^2, data=Titanic, 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)))