This filter allows you to apply a custom kernel to your layer, thus giving
you more control than e.g. with_blur() which is also applying a kernel.
with_kernel(
x,
kernel = "Gaussian:0x2",
iterations = 1,
scaling = NULL,
bias = NULL,
stack = FALSE,
...
)Arguments
- x
A ggplot2 layer object, a ggplot, a grob, or a character string naming a filter
- kernel
either a square matrix or a string. The string can either be a parameterized kerneltype such as:
"DoG:0,0,2"or"Diamond"or it can contain a custom matrix (see examples)- iterations
number of iterations
- scaling
string with kernel scaling. The special flag
"!"automatically scales to full dynamic range, for example:"50%!"- bias
output bias string, for example
"50%"- stack
Should the original layer be placed on top?
- ...
Arguments to be passed on to methods. See the documentation of supported object for a description of object specific arguments.
Value
Depending on the input, either a grob, Layer, list of Layers,
guide, or element object. Assume the output can be used in the same
context as the input.
Examples
library(ggplot2)
# Add directional blur using the comet kernel
ggplot(mtcars, aes(mpg, disp)) +
with_kernel(geom_point(size = 3), 'Comet:0,10')
