er_style_data: Data layer builders for exposure-response plots

In erplots: Model-Agnostic Exposure-Response Plots

Data layer builders for exposure-response plots

Description

Builder functions for the data layer (er_plot_add_data()), drawing raw observations either as an overlay on the main panel or as separate boxplot/jitter panels.

Usage

er_style_data_boxjitter(
  data,
  config,
  stratify,
  exposure,
  response,
  strata,
  theme,
  box_width = 0.6,
  box_alpha = 0.4,
  show_outliers = FALSE,
  jitter_height = NULL,
  jitter_size = 1,
  jitter_alpha = 0.6,
  ...
)

er_style_data_overlay(
  data,
  config,
  stratify,
  exposure,
  response,
  strata,
  theme,
  jitter_height = NULL,
  alpha = 0.4,
  point_size = 1,
  ...
)

er_style_data_hex(
  data,
  config,
  stratify,
  exposure,
  response,
  strata,
  theme,
  bins = 30,
  alpha = 0.85,
  ...
)

Arguments

data	The original data frame.
config	Configuration for the specific plot.
stratify	Logical: whether to stratify.
exposure	Exposure variable.
response	Response variable.
strata	Stratification variable.
theme	Theme components.
box_width	Width of er_style_data_boxjitter()'s boxplot. Defaults to 0.6.
box_alpha	Transparency of er_style_data_boxjitter()'s boxplot fill. Defaults to 0.4.
show_outliers	Logical: whether er_style_data_boxjitter() draws outlier points. Defaults to FALSE, since its raw points are already shown via the jitter layer.
jitter_height	Vertical jitter applied to raw points. Defaults to NULL: er_style_data_boxjitter() resolves this to 0.3 when stratified or 0.15 otherwise; er_style_data_overlay() resolves it to 0.015 for a binary response (whose y-values would otherwise overplot into two solid lines) or 0 otherwise.
jitter_size	Point size for er_style_data_boxjitter()'s jittered points. Defaults to 1.
jitter_alpha	Transparency of er_style_data_boxjitter()'s jittered points. Defaults to 0.6.
...	Additional named arguments forwarded from er_plot_add_data()'s own .... er_style_data_overlay()/er_style_data_boxjitter() read a seed from here (via config$seed, NULL when not supplied) and pass it to ggplot2::position_jitter(), letting a caller make the jitter reproducible across repeated plot() calls on the same object; with no seed, each render draws a fresh jitter, as for any other jittered geom.
alpha	Point transparency for er_style_data_overlay() (defaults to 0.4); fill transparency for er_style_data_hex() (defaults to 0.85).
point_size	Point size for er_style_data_overlay(). Defaults to 1.
bins	Number of hex bins for er_style_data_hex(). Defaults to 30.

Details

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

Value

A geom, or a list of geoms; see er_style().

Choosing a builder

All three builders draw raw observations, but differ in structural family (see er_style_tag()'s layout) and which response types they support:

• er_style_data_overlay() (the default) – raw points, overlaid directly on the main panel (layout = "overlay"). Any response type.

• er_style_data_hex() – a 2D hexbin density overlay on the main panel instead of individual points (layout = "overlay"), useful when there are too many points for er_style_data_overlay() to stay legible. Requires the hexbin package.

• er_style_data_boxjitter() – a boxplot + jitter panel stacked below/above the main panel instead of an overlay (layout = "panel"). Binary-response only.

All built-in data builders are also tagged layer = "plot_data", so er_plot_add_data() errors if given a builder tagged for another layer.

Hex fill and draw order

er_style_data_hex() defaults to a light-grey-to-navy ("grey90" to "#132B43") fill gradient, so a cell's fill fades toward the panel background as its count approaches zero rather than starting at ggplot2's own default mid-intensity blue. Override it with er_plot_theme(fill_continuous = ...).

Because its geoms cover the whole panel, er_style_data_hex() is tagged er_style_tag(fn, draw_order = "background") (see er_style_tag()), so it's drawn before the model/summary/quantile layers rather than on top of them; its default alpha = 0.85 gives those layers a little extra visibility through even a densely populated hex cell.

See Also

er_style(), er_style_tag()

Examples

if (requireNamespace("erglm", quietly = TRUE)) {
  library(erglm)
  mod2 <- erglm_model(ae2 ~ aucss + sex, erglm_data, family = binomial())

  # er_style_data_overlay(): the default, raw points on the main panel
  erglm_data |>
    er_plot(aucss, ae2, stratify_by = sex) |>
    er_plot_add_model(mod2) |>
    er_plot_add_data(style = er_style_data_overlay) |>
    plot()

  # er_style_data_boxjitter(): binary-response only, boxplot + jitter
  # panels above/below the main panel instead of an overlay
  erglm_data |>
    er_plot(aucss, ae2, stratify_by = sex) |>
    er_plot_add_model(mod2) |>
    er_plot_add_data(style = er_style_data_boxjitter) |>
    plot()

  # overriding a builder's own visual defaults, e.g. larger/more
  # opaque points and a wider jitter
  erglm_data |>
    er_plot(aucss, ae2, stratify_by = sex) |>
    er_plot_add_model(mod2) |>
    er_plot_add_data(
      style = er_style_data_overlay,
      jitter_height = 0.1,
      alpha = 0.7,
      size = 2
    ) |>
    plot()
}

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