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.