Totally non-ggplotish version of geom_scattermore(), but faster. It avoids
most of the ggplot processing by bypassing the largest portion of data
around any ggplot functionality, leaving only enough data to set up axes and
limits correctly. If you need to break speed records, use this.
geom_scattermost(
xy,
color = "black",
interpolate = FALSE,
pointsize = 0,
pixels = c(512, 512)
)Arguments
- xy
2-column object with data, as in
scattermore().- color
Color vector (or a single color).
- interpolate
Default FALSE, passed to
grid::rasterGrob().- pointsize
Radius of rasterized point. Use
0for single pixels (fastest).- pixels
Vector with X and Y resolution of the raster, default
c(512,512).
Examples
library(ggplot2)
library(scattermore)
d <- data.frame(x = rnorm(1000000), y = rnorm(1000000))
x_rng <- range(d$x)
ggplot() +
geom_scattermost(cbind(d$x, d$y),
color = heat.colors(100, alpha = .01)
[1 + 99 * (d$x - x_rng[1]) / diff(x_rng)],
pointsize = 2.5,
pixels = c(1000, 1000),
interpolate = TRUE
)
