CODEWITHSUNDEEP
rplotsurvival-analysis
Erin
Erin

Reputation: 187

R plotting multiple survival curves in the same plot

I am trying to plot multiple survival curves in the same plot. Using plot I can easily do this by 

plot(sr_fit_0, col = 'red' , conf.int=TRUE, xlim=c(0, max_m))
par(new=TRUE)
plot(sr_fit_1,  col ='blue', conf.int=TRUE, xlim=c(0, max_m))`

But now I want to use ggsurv to plot survival curve and I don't know how to have both of them in the same plot(not subplots). Any help is appreciated.

Upvotes: 3

Views: 11206

Answers (1)

Scott Smith
Scott Smith

Reputation: 183

I generated some data for life below for life of hamsters and gerbils. You can use the survfit() function similar to other curve fitting functions and define a data frame column that splits the population. When you create the plot with ggsurv() I think it will display what you are looking for. 

## Make some data for varmint life
set.seed(1); l1 <- rnorm(120, 2.5, 1)
gerbils <- data.frame(life = l1[l1>0])
set.seed(3); l2 <- rnorm(120, 3, 1)
hamsters <- data.frame(life = l2[l2>0])

## Load required packages
require('survival'); require('GGally')

## Generate fits for survival curves
## (Note that Surv(x) creates a Survival Object)
sf.gerbils <- survfit(Surv(life) ~ 1, data = gerbils)
sf.hamsters <- survfit(Surv(life) ~ 1, data = hamsters)
ggsurv(sf.gerbils) #Survival plot for gerbils
ggsurv(sf.hamsters) #Survival plot for hamsters

## Combine gerbils and hamsters while adding column for identification
varmints <- rbind((cbind(gerbils, type = 'gerbil')),
                  (cbind(hamsters, type = 'hamster')))

## Generate survival for fit for all varmints as a function of type
sf.varmints <- survfit(Surv(life) ~ type, data = varmints)

## Plot the survival curves on one chart
ggsurv(sf.varmints)

enter image description here

Upvotes: 8

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