This document explains Survival Curves related plotting using {ggplot2}
and {ggfortify}
.
{ggfortify}
let {ggplot2}
know how to draw survival curves. After loading {ggfortify}
, you can use ggplot2::autoplot
function for survfit
objects.
library(ggfortify)
library(survival)
fit <- survfit(Surv(time, status) ~ sex, data = lung)
autoplot(fit)
There are some options to change survival curve output. Use help(autoplot.survfit)
(or help(autoplot.*)
for any other objects) to check available options.
autoplot(fit, surv.linetype = 'dashed', conf.int = FALSE,
censor.shape = '*', censor.size = 5, facets = TRUE, ncol = 2)
autoplot(survfit(Surv(time, status) ~ 1, data = lung), surv.colour = 'orange', censor.colour = 'red')
autoplot(survfit(Surv(time, status) ~ sex, data = lung), fun = 'event')
d.coxph <- survfit(coxph(Surv(time, status) ~ sex, data = lung))
autoplot(d.coxph, surv.linetype = 'dashed', surv.colour = 'blue',
conf.int.fill = 'dodgerblue3', conf.int.alpha = 0.5, censor = FALSE)
Also, you can use autoplot
for survival::aareg
instance.
autoplot(aareg(Surv(time, status) ~ age + sex + ph.ecog, data = lung))