roc_by_mod: ROC curve across models

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

ROC curve across models

Description

Faceted display of ROC curves across models in a set.

Usage

roc_by_mod(
  xpdb_s,
  ...,
  .lineage = FALSE,
  mapping = NULL,
  cutpoint = 1,
  type = "ca",
  title = "ROC curves across models | @dvcol~@probcol",
  subtitle = "Based on @nind individuals, Ofvs: @ofv",
  caption = "@dir",
  tag = NULL,
  axis.text = "@run",
  facets,
  .problem,
  quiet,
  roc_args = NULL
)

Arguments

xpdb_s	<xpose_set> object
...	Any additional aesthetics.
.lineage	<logical> where if TRUE, ... is processed
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
axis.text	What to label the model. This is parsed on a per-model basis.
facets	Additional facets
.problem	Problem number
quiet	Silence extra debugging output
roc_args	Additional arguments to pass to xplot_rocplot()

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)

Examples

pkpd_m3 <- pkpd_m3 %>%
  # Need to ensure var types are set
  set_var_types(catdv=BLQ,dvprobs=LIKE) %>%
  # Set probs
  set_dv_probs(1, 1~LIKE, .dv_var = BLQ) %>%
  # Optional, but useful to set levels
  set_var_levels(1, BLQ = lvl_bin())

m3_set <- xpose_set(
  run1=set_prop(pkpd_m3,run="run1"),
  run2=set_prop(pkpd_m3,run="run2"),
  run3=set_prop(pkpd_m3,run="run3")
)

roc_by_mod(m3_set, type = "ck", quiet = TRUE)

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