The UnempDur dataset

The UnempDur dataset contains information on how long people stay unemployed. In this case, the event (finding a job) is something positive. This information is stored in the censor1 variable, which has a value of 1 if an individual was re-employed at a full-time job. The spell variable indicates the length of time an individual was unemployed in number of two-week intervals.

In this exercise, you'll explore these censored values and create a Surv object, just as you did in the previous exercises with the GBSG2 dataset.

This exercise is part of the course

Survival Analysis in R

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Exercise instructions

Load the UnempDur dataset from the Ecdat package.
Count the number of censored and uncensored observations using the table() function.
Create a barplot of the number of censored and uncensored observations.
Create a Surv object using censor1 and the variable describing duration.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Load the UnempDur data
___(___, ___)

# Count censored and uncensored data
cens_employ_ft <- ___(___)
cens_employ_ft

# Create barplot of censored and uncensored data
barplot(___)

# Create Surv-Object
sobj <- ___(___, ___)

# Look at 10 first elements
sobj[1:10]

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