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