geom_quasirandom
, but creates a raster layerThis geom is similar to geom_quasirandom
, but creates a raster layer
geom_quasirandom_rast(
...,
width = NULL,
varwidth = FALSE,
bandwidth = 0.5,
nbins = NULL,
method = "quasirandom",
groupOnX = NULL,
dodge.width = 0,
raster.dpi = getOption("ggrastr.default.dpi", 300),
dev = "cairo",
scale = 1
)
geom_quasirandom plot with rasterized layer
Other arguments passed on to layer()
. These are
often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red"
or size = 3
. They may also be parameters
to the paired geom/stat.
the maximum amount of spread (default: 0.4)
vary the width by the relative size of each group
the bandwidth adjustment to use when calculating density Smaller numbers (< 1) produce a tighter "fit". (default: 0.5)
the number of bins used when calculating density (has little effect with quasirandom/random distribution)
the method used for distributing points
(quasirandom, pseudorandom, smiley, maxout, frowney, minout, tukey, tukeyDense).
See vipor::offsetSingleGroup()
for the details of each method.
Amount by which points from different aesthetic groups will be dodged. This requires that one of the aesthetics is a factor.
integer Resolution of the rastered image in dots per inch (default=300).
string Specifies the device used, which can be one of: "cairo"
, "ragg"
or "ragg_png"
(default="cairo").
numeric Scaling factor to modify the raster object size (default=1). The parameter 'scale=1' results in an object size that is unchanged, 'scale'>1 increase the size, and 'scale'<1 decreases the size. These parameters are passed to 'height' and 'width' of grid::grid.raster(). Please refer to 'rasterise()' and 'grid::grid.raster()' for more details.
geom_point()
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
fill
group
shape
size
stroke
Learn more about setting these aesthetics in vignette("ggplot2-specs")
.
library(ggplot2)
library(ggrastr)
ggplot(mtcars) + geom_quasirandom_rast(aes(x = factor(cyl), y = mpg), raster.dpi = 600)
Run the code above in your browser using DataLab