This is a case study of the sinking of the Titanic.
Reading the data:
titanic.df <- read.csv(paste("Titanic Data.csv", sep=""))
View(titanic.df)
Summary of the table:
Total number of passengers boarding the Titanic:
nrow(titanic.df)
library(psych)
describe(titanic.df$Survived)
mytable
mytable <-with(titanic.df, table(Survived))
Percentage of survivals:
prop.table(mytable)
prop.table(mytable)*100
Number of survivals by class:
mytable1 <- xtabs(~ Pclass, data = titanic.df)
mytable1
Number of survivals by class:
mytable2 <- xtabs(~ Pclass+Survived, data = titanic.df)
mytable2
Percentage of survivals by class:
prop.table(mytable2)
prop.table(mytable2)*100
Number of survivals by sex:
mytable3 <- xtabs(~ Survived+Sex, data = titanic.df)
mytable3
Number of 1st class survivals by sex:
mytable4 <- xtabs(~ Survived+Sex+Pclass, data = titanic.df)
mytable4
Percentage of 1st class survivals by sex:
prop.table(mytable4)
prop.table(mytable4)*100
Pearson’s chi-square test:
chisq.test(mytable3)