xpose.xtras (version 0.1.2)

roc_by_mod: 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)