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survminer: Survival Analysis and Visualization

The survminer R package provides functions for facilitating survival analysis and visualization. The current version contains three main functions including:

Find out more at, and check out the documentation and usage examples of each of the functions in survminer package.

Installation and loading

Install from CRAN as follow:


Or, install the latest version from GitHub:

# Install
if(!require(devtools)) install.packages("devtools")
devtools::install_github("kassambara/survminer", build_vignettes = TRUE)

Load survminer:

# Loading required package: ggplot2

ggsurvplot: Drawing survival curves

  1. Fitting survival curves
# Loading required package: survival
fit <- survfit(Surv(time, status) ~ sex, data = lung)
  1. Basic plots
  1. Customized survival curves
ggsurvplot(fit,  size = 1,  # change line size
           palette = c("#E7B800", "#2E9FDF"), # custom color palettes
  = TRUE, # Add confidence interval
           pval = TRUE, # Add p-value
           risk.table = TRUE, # Add risk table
           risk.table.col = "strata", # Risk table color by groups
           legend.labs = c("Male", "Female"), # Change legend labels
           risk.table.height = 0.25, # Useful to change when you have multiple groups
           ggtheme = theme_bw() # Change ggplot2 theme

Note that, additional arguments are available to customize the main title, axis labels, the font style, axis limits, legends and the number at risk table.

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