stat_esf: Empirical Survival Function

In cmstatr: Statistical Methods for Composite Material Data

Empirical Survival Function

Description

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.

Usage

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.

cmstatr documentation built on May 29, 2024, 8:44 a.m.