Apply a gaussian blur to your layer
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, ... )
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: |
iterations |
number of iterations |
scaling |
string with kernel scaling. The special flag |
bias |
output bias string, for example |
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. |
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.
library(ggplot2) # Add directional blur using the comet kernel ggplot(mtcars, aes(mpg, disp)) + with_kernel(geom_point(size = 3), 'Comet:0,10')
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