Empirical Survival Function — stat

The empirical survival function (ESF) provides a visualization of a distribution. This is closely related to the empirical cumulative distribution function (ECDF). The empirical survival function is simply ESF = 1 - ECDF.

stat_esf(
  mapping = NULL,
  data = NULL,
  geom = "point",
  position = "identity",
  show.legend = NA,
  inherit.aes = TRUE,
  n = NULL,
  pad = FALSE,
  ...
)

Arguments

mapping	Set of aesthetic mappings created by `aes()`.
data	The data to be displayed in this layer. This has the same usage as a `ggplot2` `stat` function.
geom	The geometric object to use to display the data.
position	Position argument
show.legend	Should this layer be included in the legends?
inherit.aes	If `FALSE`, overrides the default aesthetic, rather than combining with them.
n	If `NULL`, do not interpolated. Otherwise, the number of points to interpolate.
pad	If `TRUE`, pad the ESF with additional points `(-Inf, 0)` and `(0, Inf)`.
...	Other arguments to pass on to `layer`.