Plot survfit objects using ggplot2

if (require(survival) && require(scales)) {
  data(lung, package = "survival")
  sf.lung <- survival::survfit(Surv(time, status) ~ 1, data = lung)
  ggsurv(sf.lung)

  # Multiple strata examples
  sf.sex <- survival::survfit(Surv(time, status) ~ sex, data = lung)
  pl.sex <- ggsurv(sf.sex)
  pl.sex

  # Adjusting the legend of the ggsurv fit
  pl.sex +
    ggplot2::guides(linetype = FALSE) +
    ggplot2::scale_colour_discrete(
      name   = 'Sex',
      breaks = c(1,2),
      labels = c('Male', 'Female')
    )

  # We can still adjust the plot after fitting
  data(kidney, package = "survival")
  sf.kid <- survival::survfit(Surv(time, status) ~ disease, data = kidney)
  pl.kid <- ggsurv(sf.kid, plot.cens = FALSE)
  pl.kid

  # Zoom in to first 80 days
  pl.kid <- pl.kid + ggplot2::coord_cartesian(xlim = c(0, 80), ylim = c(0.45, 1))
  pl.kid

  # Add the diseases names to the plot and remove legend
  col <- scales::hue_pal(
    h         = c(0, 360) + 15,
    c         = 100,
    l         = 65,
    h.start   = 0,
    direction = 1
  )(4)
  pl.kid +
    ggplot2::annotate(
      "text",
      label  = c('AN', 'GN', 'Other', 'PKD'),
      x      = c(50, 20, 50, 71),
      y      = c(0.47, 0.55, 0.67, 0.8),
      size   = 5,
      colour = col
    ) +
    ggplot2::guides(color = FALSE, linetype = FALSE)
}

## Loading required package: survival
## Loading required package: scales
## Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.