blur | R Documentation |
Methods for constructing blurs, as used in the blur
argument to
geom_blur_dots()
or stat_mcse_dots()
.
Supports automatic partial function application.
blur_gaussian(x, r, sd)
blur_interval(x, r, sd, .width = 0.95)
x |
numeric vector of positive distances from the center of the dot (assumed to be 0) to evaluate blur function at. |
r |
radius of the dot that is being blurred. |
sd |
standard deviation of the dot that is being blurred. |
.width |
for |
These functions are passed x
, r
, and sd
when geom_blur_dots()
draws in order to create a radial gradient representing each dot in the
dotplot. They return values between 0
and 1
giving the opacity of the
dot at each value of x
.
blur_gaussian()
creates a dot with radius r
that has a Gaussian blur with
standard deviation sd
applied to it. It does this by calculating
\alpha(x; r, \sigma)
, the opacity at distance x
from the center
of a dot with radius r
that has had a Gaussian blur with standard
deviation \sigma
= sd
applied to it:
\alpha(x; r, \sigma) = \Phi \left(\frac{x + r}{\sigma} \right) -
\Phi \left(\frac{x - r}{\sigma} \right)
blur_interval()
creates an interval-type representation around the
dot at 50% opacity, where the interval is a Gaussian quantile interval with
mass equal to .width
and standard deviation sd
.
A vector of length x
giving the opacity of the radial gradient representing
the dot at each x
value.
geom_blur_dots()
and stat_mcse_dots()
for geometries making use of
blur
s.
# see examples in geom_blur_dots()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.