I've build a shiny app with an interactive legend
using the scale_fill_manual_interactive
function from the beautiful ggiraph package. However, I would like to print the information(male or female, depending on selection) from the onclick
event to console. Here is the code snippet.
library(ggplot2)
library(ggiraph)
dat <- data.frame(
name = c( "Guy", "Ginette", "David", "Cedric", "Frederic" ),
gender = c( "Male", "Female", "Male", "Male", "Male" ),
height = c(169, 160, 171, 172, 171 ) )
p <- ggplot(dat, aes( x = name, y = height, fill = gender,
data_id = name ) ) +
geom_bar_interactive(stat = "identity")
p3 <- p +
scale_fill_manual_interactive(
name = label_interactive("gender", tooltip="Gender levels", data_id="legend.title"),
values = c(Male = "#0072B2", Female = "#009E73"),
data_id = function(breaks) { as.character(breaks)},
tooltip = function(breaks) { as.character(breaks)},
onclick = function(breaks) { cat( as.character(breaks)) }
)
x <- girafe(ggobj = p3)
x <- girafe_options(x,
opts_hover_key(girafe_css("stroke:red", text="stroke:none;fill:red")))
if (interactive()) print(x)
now it only prints the entire list
Female Male
instead of only the one selected.
This should answer your question. It will print in the R console the last clicked key. A reactive value is available to get clicked key, its ID is plot_key_selected
: the ggiraph ID + _key_selected
library(shiny)
library(ggplot2)
library(ggiraph)
gg <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width, color = Species)) +
geom_point_interactive( size = 3 ) + theme_minimal() +
scale_colour_manual_interactive(
data_id = c("setosa" = "setosa", "versicolor" = "versicolor", "virginica" = "virginica"),
tooltip = c("setosa" = "setosa", "versicolor" = "versicolor", "virginica" = "virginica"),
values = c("setosa" = "purple", "versicolor" = "blue", "virginica" = "darkgreen")
)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
),
mainPanel(
ggiraph::ggiraphOutput("plot")
)
)
)
server <- function(input, output) {
output$plot <- renderggiraph({
x <- girafe(code = print(gg), width_svg = 6, height_svg = 8)
x
})
observe({
print(input$plot_key_selected)
})
}
shinyApp(ui = ui, server = server)