Exercise

Does age play a role?

Another variable that could influence survival is age: it's probable children were saved first. You can test this by creating a new column with a categorical variable child.

To add this new variable you need to do two things:

  1. Create a new column, which is done through the $ operator. To create a new column, lucky, for example:

    train$lucky <- NA

  2. Provide the values for each observation (i.e., row) based on the age of the passenger. You can use a boolean test inside square brackets for this. For example, to set the lucky column to TRUE for passengers that survived the disaster, and the others to FALSE, you could use: 

    train$lucky[train$Survived == 1] <- TRUE
train$lucky[train$Survived == 0] <- FALSE

Instructions

100 XP
  • Finish the code on the right to create a new column Child
  • whose default value is NA,
  • whose value is 1 if the passenger's Age is < 18 years and
  • whose value is 0 when the passenger's Age is >= 18 years.
  • Do a two-way comparison on the number of children vs adults that survived, in row-wise proportions.