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These geometries are based on ggplot2::geom_crossbar(), ggplot2::geom_errorbar(), ggplot2::geom_linerange() and ggplot2::geom_pointrange(). See the documentation for those functions for more details.

Usage

geom_crossbar_interactive(...)

geom_errorbar_interactive(...)

geom_linerange_interactive(...)

geom_pointrange_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

Examples

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

# Create a simple example dataset
df <- data.frame(
  trt = factor(c(1, 1, 2, 2)),
  resp = c(1, 5, 3, 4),
  group = factor(c(1, 2, 1, 2)),
  upper = c(1.1, 5.3, 3.3, 4.2),
  lower = c(0.8, 4.6, 2.4, 3.6)
)

p <- ggplot(df, aes(trt, resp, colour = group))
g <- p + geom_linerange_interactive(aes(ymin = lower, ymax = upper, tooltip = group))
x <- girafe(ggobj = g)
if( interactive() ) print(x)

g <- p + geom_pointrange_interactive(aes(ymin = lower, ymax = upper, tooltip = group))
x <- girafe(ggobj = g)
if( interactive() ) print(x)

g <- p + geom_crossbar_interactive(aes(ymin = lower, ymax = upper, tooltip = group), width = 0.2)
x <- girafe(ggobj = g)
if( interactive() ) print(x)

g <- p + geom_errorbar_interactive(aes(ymin = lower, ymax = upper, tooltip = group), width = 0.2)
x <- girafe(ggobj = g)
if( interactive() ) print(x)