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Hexagonal heatmap layer

Source: R/mark.R
mark_hex.Rd

Divides the x-y plane into hexagonal bins and fills each by the count (or other aggregation) of observations in that bin. Ideal for visualizing overplotting in large datasets. The count fill scale defaults to viridis; chain scale_fill() afterwards to replace it (last call wins).

Usage

mark_hex(
  plot,
  mapping = NULL,
  data = NULL,
  position = NULL,
  ...,
  bins = 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_hex

bins

Number of bins along both axes (default 30).

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

AntV G2: Heatmap (corelib)

Examples

plotit(
  ggplot2::diamonds[sample(nrow(ggplot2::diamonds), 1000), ],
  encode(x = carat, y = price)
) |> mark_hex(bins = 20)