ROC Curve Stat — stat_roc • halfmoon

Statistical transformation for ROC curves.

Usage

stat_roc(
  mapping = NULL,
  data = NULL,
  geom = "path",
  position = "identity",
  na.rm = TRUE,
  show.legend = NA,
  inherit.aes = TRUE,
  .focal_level = NULL,
  ...
)

Arguments

mapping: Set of aesthetic mappings created by aes(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot.
data: The data to be displayed in this layer. If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot().
geom: Geometric object to use. Default is "path".
position: Position adjustment.
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.
inherit.aes: If FALSE, overrides the default aesthetics, rather than combining with them.
.focal_level: The level of the exposure aesthetic to treat as the event. Must be a level the data actually takes; a declared factor level that no observation takes is not accepted. If NULL (default), the last observed level is used, which is the maximum value for numeric exposures.
...: Other arguments passed on to layer().

Value

A ggplot2 layer.