Create interactive quantile regression
The geometry is based on geom_quantile().
See the documentation for those functions for more details.
geom_quantile_interactive(...)
... |
arguments passed to base function,
plus any of the |
The interactive parameters can be supplied with two ways:
As aesthetics with the mapping argument (via aes()).
In this way they can be mapped to data columns and apply to a set of geometries.
As plain arguments into the geom_*_interactive function. In this way they can be set to a scalar value.
# add interactive quantiles to a ggplot -------
library(ggplot2)
library(ggiraph)
if (requireNamespace("quantreg", quietly = TRUE)) {
m <- ggplot(mpg, aes(displ, 1 / hwy)) + geom_point()
p <- m + geom_quantile_interactive(
aes(
tooltip = stat(quantile),
data_id = stat(quantile),
colour = stat(quantile)
),
formula = y ~ x,
size = 2,
alpha = 0.5
)
x <- girafe(ggobj = p)
x <- girafe_options(x = x,
opts_hover(css = "stroke:red;stroke-width:10px;") )
if (interactive()) print(x)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.