R: Create interactive smoothed density estimates

geom_density_interactive {ggiraph} | R Documentation

## Create interactive smoothed density estimates

### Description

The geometry is based on `geom_density()`. See the documentation for those functions for more details.

### Usage

    geom_density_interactive(...)

### Arguments

`...` | arguments passed to base function, plus any of the `interactive_parameters()`.

### Details for geom_*_interactive functions

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.

### See Also

`girafe()`

### Examples

    # add interactive bar -------
    library(ggplot2)
    library(ggiraph)

    p <- ggplot(diamonds, aes(carat)) +
      geom_density_interactive(tooltip="density", data_id="density")
    x <- girafe(ggobj = p)
    x <- girafe_options(x = x,
                        opts_hover(css = "stroke:orange;stroke-width:3px;") )
    if( interactive() ) print(x)

    p <- ggplot(diamonds, aes(depth, fill = cut, colour = cut)) +
      geom_density_interactive(aes(tooltip=cut, data_id=cut), alpha = 0.1) +
      xlim(55, 70)
    x <- girafe(ggobj = p)
    x <- girafe_options(x = x,
                        opts_hover(css = "stroke:yellow;stroke-width:3px;fill-opacity:0.8;") )
    if( interactive() ) print(x)

    p <- ggplot(diamonds, aes(carat, fill = cut)) +
      geom_density_interactive(aes(tooltip=cut, data_id=cut), position = "stack")
    x <- girafe(ggobj = p)
    if( interactive() ) print(x)

    p <- ggplot(diamonds, aes(carat, stat(count), fill = cut)) +
      geom_density_interactive(aes(tooltip=cut, data_id=cut), position = "fill")
    x <- girafe(ggobj = p)
    if( interactive() ) print(x)

[Package ggiraph version 0.7.9 Index]