stat_ecdf2: Compute empirical cumulative distribution

In abikoushi/ggsomestat: Some stat in ggplot2

Compute empirical cumulative distribution

Usage

stat_ecdf2(mapping = NULL,
  data = NULL,
  geom = "step",
  position = "identity",
  ...,
  height = 1,
  pad = TRUE,
  decreasing = FALSE,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE)

Arguments

mapping	Set of aesthetic mappings created by aes() or aes_(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.
data	The data to be displayed in this layer.
geom	The geometric object to use display the data
position	Position adjustment, either as a string, or the result of a call to a position adjustment function.
...	other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer for more details.
height	Max height. By default, set to 1.
pad	If TRUE, pad the ecdf with additional points -Inf and Inf
decreasing	If TRUE, the ecdf shows upper probabilities. By default, set to FALSE.
na.rm	If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.
show.legend	logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.
inherit.aes	The position adjustment to use for overlappling points on this layer

Examples

ggplot(searchConsole, aes(impressions, pagePath)) +
  stat_ecdf2()

abikoushi/ggsomestat documentation built on March 21, 2024, 7:03 a.m.