Create interactive contours of a 2d density estimate

The geometries are based on ggplot2::geom_density_2d() and ggplot2::geom_density_2d_filled(). See the documentation for those functions for more details.

Usage

geom_density_2d_interactive(...)

geom_density_2d_filled_interactive(...)

Arguments

...

arguments passed to base function, plus any of the interactive_parameters.

Details for interactive geom functions

The interactive parameters can be supplied with two ways:

• As aesthetics with the mapping argument (via ggplot2::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.

See also

girafe()

Examples

# add interactive contours to a ggplot -------
library(ggplot2)
library(ggiraph)

m <- ggplot(faithful, aes(x = eruptions, y = waiting)) +
  geom_point_interactive(aes(
    tooltip = paste("Waiting:", waiting, "\neruptions:", eruptions)
  )) +
  xlim(0.5, 6) +
  ylim(40, 110)
p <- m +
  geom_density_2d_interactive(aes(tooltip = paste("Level:", after_stat(level))))
x <- girafe(ggobj = p)
x


set.seed(4393)
dsmall <- diamonds[sample(nrow(diamonds), 1000), ]
d <- ggplot(dsmall, aes(x, y))


p <- d +
  geom_density_2d_interactive(aes(colour = cut, tooltip = cut, data_id = cut))
x <- girafe(ggobj = p)
x <- girafe_options(x = x, opts_hover(css = "stroke:red;stroke-width:3px;"))
x


p <- d +
  geom_density_2d_filled_interactive(
    aes(colour = cut, tooltip = cut, data_id = cut),
    contour_var = "count"
  ) +
  facet_wrap(vars(cut))
x <- girafe(ggobj = p)
x <- girafe_options(x = x, opts_hover(css = "stroke:red;stroke-width:3px;"))
x



p <- d +
  stat_density_2d(
    aes(
      fill = after_stat(nlevel),
      tooltip = paste("nlevel:", after_stat(nlevel))
    ),
    geom = "interactive_polygon"
  ) +
  facet_grid(. ~ cut) +
  scale_fill_viridis_c_interactive(tooltip = "nlevel")
x <- girafe(ggobj = p)
x