geom_scattermore: geom_scattermore

In scattermore: Scatterplots with More Points

geom_scattermore

Description

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.

Usage

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()

scattermore documentation built on July 9, 2023, 5:34 p.m.