R: Create interactive quantile regression

geom_quantile_interactive {ggiraph} | R Documentation

## Create interactive quantile regression

### Description

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

### Usage

    geom_quantile_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 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)
    }

[Package ggiraph version 0.7.9 Index]