Smoothed conditional mean layer — mark

Adds a smoothed conditional mean line with a confidence band. Aids the eye in seeing patterns in the presence of overplotting.

Usage

mark_smooth(
  plot,
  mapping = NULL,
  data = NULL,
  position = NULL,
  ...,
  method = NULL,
  formula = NULL,
  se = NULL,
  rasterize = FALSE,
  rasterize_dpi = 300,
  rasterize_dev = "cairo"
)

Arguments

plot: A plotit object
mapping: Optional new aesthetics
data: Optional data for this layer
position: Position adjustment.
...: Other arguments passed to geom_smooth
method: Smoothing method: "auto" (loess for n<1000, gam otherwise), "lm", "glm", "gam", or "loess".
formula: Formula to use in the smoothing function.
se: If TRUE (default), display confidence interval around smooth.
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: achieved via layer(point) + layer(line) + transform(regression)

AntV G2: achieved via transform pipeline

Examples

plotit(mtcars, encode(x = wt, y = mpg)) |> mark_smooth()
#> `geom_smooth()` using method = 'loess' and formula = 'y ~ x'