This geometry is based on ggplot2::geom_dotplot()
.
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
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.
Examples
# add interactive dot plots to a ggplot -------
library(ggplot2)
library(ggiraph)
p <- ggplot(mtcars, aes(x = mpg, fill = factor(cyl))) +
geom_dotplot_interactive(
aes(tooltip = row.names(mtcars)),
stackgroups = TRUE,
binwidth = 1,
method = "histodot"
)
x <- girafe(ggobj = p)
if (interactive()) {
print(x)
}
gg_point = ggplot(
data = mtcars,
mapping = aes(
x = factor(vs),
fill = factor(cyl),
y = mpg,
tooltip = row.names(mtcars)
)
) +
geom_dotplot_interactive(
binaxis = "y",
stackdir = "center",
position = "dodge"
)
x <- girafe(ggobj = gg_point)
#> Bin width defaults to 1/30 of the range of the data. Pick better value with
#> `binwidth`.
if (interactive()) {
print(x)
}