geom_scattermore

ggplot2::ggplot() integration. This cooperates with the rest of ggplot (so you can use it to e.g. add rasterized scatterplots to vector output in order to reduce PDF size). Note that the ggplot processing overhead still dominates the plotting time. Use geom_scattermost() to tradeoff some niceness and circumvent ggplot logic to gain speed.

geom_scattermore(
  mapping = NULL,
  data = NULL,
  stat = "identity",
  position = "identity",
  ...,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  interpolate = FALSE,
  pointsize = 0,
  pixels = c(512, 512)
)

Arguments

mapping, data, stat, position, inherit.aes, show.legend, ...

passed to ggplot2::layer()

na.rm

Remove NA values, just as with ggplot2::geom_point().

interpolate

Default FALSE, passed to grid::rasterGrob().

pointsize

Radius of rasterized point. Use 0 for single pixels (fastest).

pixels

Vector with X and Y resolution of the raster, default c(512,512).

Details

Accepts aesthetics x, y, colour and alpha. Point size is fixed for all points. Due to rasterization properties it is often beneficial to try non-integer point sizes, e.g. 3.2 looks much better than 3.

Examples

library(ggplot2)
library(scattermore)
ggplot(data.frame(x = rnorm(1e6), y = rexp(1e6))) +
  geom_scattermore(aes(x, y, color = x),
    pointsize = 3,
    alpha = 0.1,
    pixels = c(1000, 1000),
    interpolate = TRUE
  ) +
  scale_color_viridis_c()