er_style_tte_summary: Summary annotation builders for the TTE grammar

In erplots: Model-Agnostic Exposure-Response Plots

Summary annotation builders for the TTE grammar

Description

Builder functions for the summary layer (er_tte_add_summary()), drawing a corner-placed text/label annotation from a log-rank test comparing survival across stratify_by's levels, a supplied model's er_summary() result, or observation/event counts.

Usage

er_style_tte_summary_logrank(
  data,
  config,
  stratify,
  time,
  strata,
  theme,
  inset = 0.05,
  label_size = NULL,
  label_colour = NULL,
  label_fill = NULL,
  ...
)

er_style_tte_summary_n(
  data,
  config,
  stratify,
  time,
  strata,
  theme,
  inset = 0.05,
  label_size = NULL,
  label_colour = NULL,
  label_fill = NULL,
  ...
)

er_style_tte_summary_coefficients(
  data,
  config,
  stratify,
  time,
  strata,
  theme,
  inset = 0.05,
  label_size = NULL,
  label_colour = NULL,
  label_fill = NULL,
  ...
)

er_style_tte_summary_gof(
  data,
  config,
  stratify,
  time,
  strata,
  theme,
  inset = 0.05,
  fields = c("n", "aic", "bic", "r_squared"),
  label_size = NULL,
  label_colour = NULL,
  label_fill = NULL,
  ...
)

Arguments

data	The original data frame (object$data).
config	Configuration for the summary layer (populated by er_tte_add_summary()): config$logrank_p_value (the log-rank test's p-value, or NULL when fewer than 2 strata levels are present in the data), config$summary (the supplied model's raw er_summary() result, or NULL when no model was supplied), and config$corner_distance (how uncrowded each panel corner is, relative to the plotted survival curve(s) – see er_style()'s ?er_plot_add_summary()-analogous corner-placement idiom).
stratify	Logical: whether this layer was added with keep_strata = TRUE (the default whenever stratify_by was set in er_tte()) – see er_tte_add_summary().
time	object$time (name/label/limits).
strata	object$strata (var/label).
theme	object$theme – theme$format_p/theme$format_number format the annotation's numbers.
inset	Distance from the panel edge for the annotation label, as a fraction of the panel's width/height. Default 0.05.
label_size	Label text size. Defaults to NULL (ggplot2::geom_label()'s own default).
label_colour	Label text colour. Defaults to NULL (ggplot2::geom_label()'s own default).
label_fill	Label background fill. Defaults to NULL (ggplot2::geom_label()'s own default).
...	Additional named arguments forwarded from er_tte_add_summary()'s own ....
fields	Fields from glance to include for er_style_tte_summary_gof(), and the order they're shown in: one or more of "n", "aic", "bic", or "r_squared". Defaults to all four, in that order. A field is shown only when both present and non-NA in the model's glance result.

Details

See er_style_tte() for the shared builder interface these functions implement.

Value

A geom, or a list of geoms.

Choosing a builder

Each builder draws a different kind of annotation, with its own data requirements:

• er_style_tte_summary_logrank() (the default) – a log-rank p-value comparing survival across stratify_by's levels. Draws nothing on an unstratified object, or one with fewer than 2 strata levels present in the data.

• er_style_tte_summary_n() – subject/event counts. Doesn't depend on a model or stratify_by at all.

• er_style_tte_summary_coefficients() – one line per row of a supplied model's coefficients table (see er_summary()). Draws nothing without a model supplying coefficients, or if the layer is stratified.

• er_style_tte_summary_gof() – a single-line goodness-of-fit summary from a supplied model's glance field. Same requirements and restrictions as er_style_tte_summary_coefficients().

Log-rank test

er_style_tte_summary_logrank() places its annotation in whichever of the panel's 4 corners is currently furthest from the survival curve(s), using the same ⁠(0, 1)⁠-rescaled corner-distance calculation er_plot_add_summary()'s own p-value annotation uses to avoid a plot's raw data points – here applied to the curve's own ⁠(time, surv)⁠ coordinates instead, since there's no raw per-subject scatter in this grammar for the annotation to avoid. It draws nothing if config$logrank_p_value is NULL (fewer than 2 strata levels present, including an unstratified object).

Subject and event counts

er_style_tte_summary_n() draws subject and event counts – one line per stratum when stratify is TRUE, a single overall line otherwise – and doesn't depend on a model or stratify_by at all.

Model coefficients and goodness-of-fit

er_style_tte_summary_coefficients() draws one line per row of the supplied model's coefficients table (see er_summary()'s coefficients field); it draws nothing if coefficients wasn't supplied, or if the layer is stratified. er_style_tte_summary_gof() draws a single-line, comma-separated goodness-of-fit annotation from the model's glance field – a curated subset (N, AIC, BIC, R-squared) rather than every reserved glance column, showing only whichever of those four are actually present and non-NA; it draws nothing if none of them are available, or if the layer is stratified.

Tags

All four builders are tagged er_style_tag(fn, layer = "tte_summary") – distinct from er_plot_add_summary()'s own "summary" tag, since the two grammars' summary builders share no signature (exposure/response vs. time) – so er_tte_add_summary() errors informatively if a builder tagged for a different layer is passed to it instead (including er_plot_add_summary()'s own builders).

See Also

er_tte_add_summary(), er_style_tte()

Examples

library(survival)
lung |>
  transform(sex = factor(sex, labels = c("Male", "Female"))) |>
  er_tte(time, status == 2, stratify_by = sex) |>
  er_tte_add_curve() |>
  er_tte_add_summary(style = er_style_tte_summary_logrank, label_fill = "white") |>
  plot()

# a purely descriptive annotation, with no log-rank test at all
lung |>
  er_tte(time, status == 2) |>
  er_tte_add_curve() |>
  er_tte_add_summary(style = er_style_tte_summary_n) |>
  plot()

erplots documentation built on Oct. 4, 2026, 5:06 p.m.