plot_roc: Plot a receiver-operator characteristic curve.

In PiotrTymoszuk/caretExtra: Extra functionality for predictions and quality control of caret models

Plot a receiver-operator characteristic curve.

Description

Generates a ROC plot with for the fitted and outcome values. Optionally, a custom annotation inside the plot may be added.

Usage

plot_roc(
  predx_object,
  line_color = "steelblue",
  line_size = 0.5,
  cutoffs_at = 0.5,
  point_size = 0.3,
  plot_title = NULL,
  plot_subtitle = NULL,
  plot_tag = NULL,
  annotation_txt = NULL,
  annotation_color = line_color,
  annotation_size = 2.75,
  annotation_x = 0.6,
  annotation_y = 0.3,
  annotation_hjust = 0,
  annotation_vjust = 1,
  cust_theme = NULL,
  ...
)

Arguments

predx_object	a predx object.
line_color	color of the ROC line.
line_size	size of the ROC line.
cutoffs_at	numeric, between 0 and 1, indicates the cut points to be presented in the ROC curve.
point_size	size of the cutoff point.
plot_title	plot title.
plot_subtitle	plot subtitle.
plot_tag	plot tag, contains the number of complete observations and vents if not specified by the user.
annotation_txt	annotation text.
annotation_color	annotation text color.
annotation_size	size of the annotation text and of the cutoff label.
annotation_x	annotation x position.
annotation_y	annotation y position.
annotation_hjust	horizontal justification of the annotation text.
annotation_vjust	horizontal justification of the annotation text.
cust_theme	customized plot theme provided by the user.
...	extra arguments passed to geom_roc.

Details

The plot is generated by geom_roc.

Value

returns a ggplot object.

PiotrTymoszuk/caretExtra documentation built on Oct. 15, 2023, 10:03 p.m.