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

Usage

geom_point_interactive(...)

Arguments

...

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

Note

The following shapes id 3, 4 and 7 to 14 are composite symbols and should not be used.

Details for interactive geom 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

Examples

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

dataset <- structure(list(qsec = c(16.46, 17.02, 18.61, 19.44, 17.02, 20.22
), disp = c(160, 160, 108, 258, 360, 225), carname = c("Mazda RX4",
"Mazda RX4 Wag", "Datsun 710", "Hornet 4 Drive", "Hornet Sportabout",
"Valiant"), wt = c(2.62, 2.875, 2.32, 3.215, 3.44, 3.46)), row.names = c("Mazda RX4",
"Mazda RX4 Wag", "Datsun 710", "Hornet 4 Drive", "Hornet Sportabout",
"Valiant"), class = "data.frame")
dataset
#>                    qsec disp           carname    wt
#> Mazda RX4         16.46  160         Mazda RX4 2.620
#> Mazda RX4 Wag     17.02  160     Mazda RX4 Wag 2.875
#> Datsun 710        18.61  108        Datsun 710 2.320
#> Hornet 4 Drive    19.44  258    Hornet 4 Drive 3.215
#> Hornet Sportabout 17.02  360 Hornet Sportabout 3.440
#> Valiant           20.22  225           Valiant 3.460

# plots
gg_point = ggplot(data = dataset) +
  geom_point_interactive(aes(x = wt, y = qsec, color = disp,
    tooltip = carname, data_id = carname)) + theme_minimal()

x <- girafe(ggobj = gg_point)
if( interactive() ) print(x)