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Create interactive quantile regression

Source: R/geom_quantile_interactive.R
geom_quantile_interactive.Rd

The geometry is based on ggplot2::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 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 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 = after_stat(quantile),
      data_id = after_stat(quantile),
      colour = after_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)
}