scale_manual_interactive: Create your own interactive discrete scale
In ggiraph: Make 'ggplot2' Graphics Interactive

scale_manual_interactive

R Documentation

Create your own interactive discrete scale

Description

These scales are based on scale_colour_manual(), scale_fill_manual(), scale_size_manual(), scale_shape_manual(), scale_linetype_manual(), scale_alpha_manual() and scale_discrete_manual(). See the documentation for those functions for more details.

Usage

scale_colour_manual_interactive(...)

scale_color_manual_interactive(...)

scale_fill_manual_interactive(...)

scale_size_manual_interactive(...)

scale_shape_manual_interactive(...)

scale_linetype_manual_interactive(...)

scale_alpha_manual_interactive(...)

scale_discrete_manual_interactive(...)

Arguments

...

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

Value

An interactive scale object.

Details for interactive scale and interactive guide functions

For scales, the interactive parameters can be supplied as arguments in the relevant function and they can be scalar values or vectors, depending on the number of breaks (levels) and the type of the guide used. The guides do not accept any interactive parameter directly, they receive them from the scales.

When guide of type legend or bins is used, it will be converted to a guide_legend_interactive() or guide_bins_interactive() respectively, if it's not already.

The length of each scale interactive parameter vector should match the length of the breaks. It can also be a named vector, where each name should correspond to the same break name. It can also be defined as function that takes the breaks as input and returns a named or unnamed vector of values as output.

The interactive parameters here, give interactivity only to the key elements of the guide.
When guide of type colourbar or coloursteps is used, it will be converted to a guide_colourbar_interactive() or guide_coloursteps_interactive() respectively, if it's not already.

The scale interactive parameters in this case should be scalar values and give interactivity to the colorbar only.

To provide interactivity to the rest of the elements of a guide, (title, labels, background, etc), the relevant theme elements or relevant guide arguments can be used. The guide arguments title.theme and label.theme can be defined as element_text_interactive (in fact, they will be converted to that if they are not already), either directly or via the theme. See the element_*_interactive section for more details.

Examples

# add interactive manual fill scale to a ggplot -------
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")

# add interactive scale (guide is legend)
p1 <- p +
  scale_fill_manual_interactive(
    values = c(Male = "#0072B2", Female = "#009E73"),
    data_id = c(Female = "Female", Male = "Male"),
    tooltip = c(Male = "Male", Female = "Female")
  )
x <- girafe(ggobj = p1)
if (interactive()) print(x)

# make the title interactive too
p2 <- p +
  scale_fill_manual_interactive(
    name = label_interactive("gender", tooltip="Gender levels", data_id="legend.title"),
    values = c(Male = "#0072B2", Female = "#009E73"),
    data_id = c(Female = "Female", Male = "Male"),
    tooltip = c(Male = "Male", Female = "Female")
  )
x <- girafe(ggobj = p2)
x <- girafe_options(x,
                    opts_hover_key(girafe_css("stroke:red", text="stroke:none;fill:red")))
if (interactive()) print(x)

# the interactive params can be functions too
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) { paste0("alert(\"", 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)

# also via the guide
p4 <- p + scale_fill_manual_interactive(
  values = c(Male = "#0072B2", Female = "#009E73"),
  data_id = function(breaks) { as.character(breaks)},
  tooltip = function(breaks) { as.character(breaks)},
  onclick = function(breaks) { paste0("alert(\"", as.character(breaks), "\")") },
  guide = guide_legend_interactive(
    title.theme = element_text_interactive(
      size = 8,
      data_id = "legend.title",
      onclick = "alert(\"Gender levels\")",
      tooltip = "Gender levels"
    ),
    label.theme = element_text_interactive(
      size = 8
    )
  )
)
x <- girafe(ggobj = p4)
x <- girafe_options(x,
                    opts_hover_key(girafe_css("stroke:red", text="stroke:none;fill:red")))
if (interactive()) print(x)

# make the legend labels interactive
p5 <- 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) { paste0("alert(\"", as.character(breaks), "\")") },
    labels = function(breaks) {
      lapply(breaks, function(br) {
        label_interactive(
          as.character(br),
          data_id = as.character(br),
          onclick = paste0("alert(\"", as.character(br), "\")"),
          tooltip = as.character(br)
        )
      })
    }
  )
x <- girafe(ggobj = p5)
x <- girafe_options(x,
                    opts_hover_key(girafe_css("stroke:red", text="stroke:none;fill:red")))
if (interactive()) print(x)

ggiraph documentation built on March 31, 2023, 9:53 p.m.