Error bar layer — mark_errorbar • plotit

Adds error bars showing confidence intervals, standard errors, or other variability measures. Data should include columns for ymin/ymax (vertical) or xmin/xmax (horizontal).

Usage

mark_errorbar(
  plot,
  mapping = NULL,
  data = NULL,
  position = NULL,
  ...,
  width = 0.5,
  orientation = c("vertical", "horizontal"),
  rasterize = FALSE,
  rasterize_dpi = 300,
  rasterize_dev = "cairo"
)

Arguments

plot: A plotit object
mapping: Optional new aesthetics (must include ymin/ymax or xmin/xmax)
data: Optional data for this layer
position: Position adjustment.
...: Other arguments passed to the underlying geom
width: Width of the error bar caps (default 0.5).
orientation: "vertical" (default) or "horizontal".
rasterize: If TRUE, rasterize via ggrastr::rasterise().
rasterize_dpi: DPI for rasterization (default 300).
rasterize_dev: Graphics device for rasterization (default "cairo").

Value

Modified plotit object

References

Vega-Lite: Errorbar (composite mark)

Examples

df <- data.frame(
  x = c("A", "B"), y = c(10, 20), ymin = c(8, 18), ymax = c(12, 22))
plotit(df, encode(x = x, y = y, ymin = ymin, ymax = ymax)) |>
  mark_errorbar(width = 0.3)