Beta
Chapter 1: What is Survival Analysis?
install.packages("TH.data")# Packages
library(tidyverse)
library(TH.data)Hidden output
- We are interested in the time until the event occurs. For example:
- Time until death
- Time until the cab takes you after you call it
- Time until you get a new job after you get unemployed, and so on
# Datasets we are going to use
data(GBSG2, package = "TH.data")Taking a look at the data
# Check out the help page for this dataset
help(GBSG2, package = "TH.data")
# Load the data
data(GBSG2, package = "TH.data")
# Look at the summary of the dataset
summary(GBSG2)Creating Surv objects
time <- c(5, 6, 2, 4, 4)
event <- c(1, 0, 0, 1, 1)
library("survival")
Surv(time, event)Digging into GBSG2 dataset
# Our data set is called GBSG2 and is from package TH.data
data("GBSG2", package = "TH.data")
# Count censored and uncensored data
num_cens <- table(GBSG2$cens)
num_cens
# Create barplot of censored and uncensored data
barplot(num_cens)
# Use help() to look at cens
help(GBSG2, package = "TH.data")Using the Surv() function for GBSG2
# Create Surv-Object
sobj <- Surv(GBSG2$time, GBSG2$cens)
# Look at 10 first elements
sobj[1:10]
# Look at summary
summary(sobj)
# Look at structure
str(sobj)The UnempDur dataset
- The UnempDur dataset contains information on how long people stay unemployed.