ind_roc: Individual ROC plots

In xpose.xtras: Extra Functionality for the 'xpose' Package

Individual ROC plots

Description

To identify any individual likelihood predictions that may be more influential or unusual.

Note this function may have a long runtime.

Usage

ind_roc(
  xpdb,
  mapping = NULL,
  cutpoint = 1,
  type = "ca",
  title = "Individual ROC curves | @run",
  subtitle = "Ofv: @ofv, Eps shrink: @epsshk",
  caption = "@dir | Page @page of @lastpage",
  tag = NULL,
  facets,
  .problem,
  quiet,
  ...
)

Arguments

xpdb	<xp_xtras> or <xpose_data> object
mapping	ggplot2 style mapping
cutpoint	<numeric> Of defined probabilities, which one to use in plots.
type	See Details.
title	Plot title
subtitle	Plot subtitle
caption	Plot caption
tag	Plot tag
facets	Additional facets
.problem	Problem number
quiet	Silence extra debugging output
...	Any additional aesthetics.

Details

For type-based customization of plots:

• c ROC curve (using geom_path)

• k Key points on ROC curve (where on curve the threshold is thres_fixed) (using geom_point)

• p ROC space points (using geom_point)

• t ROC space text (using geom_text)

• a AUC in bottom right (using geom_label)

Value

The desired plot

Examples

## Not run: 
vismo_pomod  %>%
  set_var_types(.problem=1, catdv=DV, dvprobs=matches("^P\\d+$")) %>%
  set_dv_probs(.problem=1, 0~P0,1~P1,ge(2)~P23) %>%
  ind_roc()

## End(Not run)

xpose.xtras documentation built on April 19, 2026, 9:06 a.m.