Data describes the survival status of individual passengers on the British luxury passenger liner Titanic that sank when it struck an iceberg on April 1912, on its maiden voyage to New York City from Southampton, England (Weisberg, 2003). Information were obtained from Encyclopedia Titanica. The variables on the dataset called titanic3 were made available by Harrell Jr (2001) and contains pclass, sex, embarked and survival status for each person on the board of the Titanic. pclass refers to passenger class (1st, 2nd, 3rd), and is a proxy for socio-economic class. embarked indicates the place where the passenger embarked on the ship. The variables pclass and embarked were recoded in the present version of the dataset. These data were used to compute prevalence ratios and corresponding confidence intervals.
A data frame with 1307 observations on the following 4 variables:
The passenger class (1st, 2nd, 3rd) in the ship. Recoded to 1=1st class and 0=2nd or 3rd classes.
The survival status of the passenger (1=yes, 0=no).
Sex of the passenger (1=female, 0=male).
The place where the passenger embarked for the trip (Q=Queenstown, S=Southampton, C=Cherbourg). Recoded to 1=Queenstown or Cherbourg and 0=Southampton.
The data were originally obtained from
Dawson, Robert J. MacG. (1995), The Unusual Episode Data Revisited. Journal of Statistics Education, 3. http://www.amstat.org/publications/jse/v3n3/datasets.dawson.html
Weisberg, S. (2005) Applied Linear Regression. Third Edition. New Jersey: John-Wiley & Sons.
Frank E. Harrell Jr (2001) Regression Modelling Strategies. New York: Springer-Verlag.
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Loading required package: boot Loading required package: stats4 Loading required package: lme4 Loading required package: Matrix Loading required package: Hmisc Loading required package: lattice Attaching package: 'lattice' The following object is masked from 'package:boot': melanoma Loading required package: survival Attaching package: 'survival' The following object is masked from 'package:boot': aml Loading required package: Formula Loading required package: ggplot2 Attaching package: 'Hmisc' The following objects are masked from 'package:base': format.pval, round.POSIXt, trunc.POSIXt, units  1307 4 as.factor(pclass) n missing distinct 1307 0 2 Value 0 1 Frequency 986 321 Proportion 0.754 0.246 pclass survived 0 1 0 686 123 1 300 198 Call: glm(formula = survived ~ as.factor(pclass), family = binomial, data = titanic) Coefficients: (Intercept) as.factor(pclass)1 -0.8271 1.3032 Degrees of Freedom: 1306 Total (i.e. Null); 1305 Residual Null Deviance: 1737 Residual Deviance: 1639 AIC: 1643
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