Connecting labels with donut segments

The set of functions served to connect text or labels with donut segments

geom_pin_line() - builds curved line to linl label with donut segment
geom_pin_head() - builds stylish point heads for pins
geom_pin() - handy wrapper for geom_pin_line() and geom_pin_head()

Usage

geom_pin_line(
  mapping = NULL,
  data = NULL,
  stat = "pin",
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  r = 1.5,
  cut = 0.1,
  layout = circle(),
  ...
)

geom_pin_head(
  mapping = NULL,
  data = NULL,
  stat = "point",
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  r = 1.5,
  cut = 0.1,
  layout = circle(),
  ...
)

geom_pin(..., head = TRUE)

Format

An object of class StatPinLine (inherits from Stat, ggproto, gg) of length 3.

An object of class StatPinHead (inherits from Stat, ggproto, gg) of length 3.

Arguments

mapping

Set of aesthetic mappings created by aes(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.

data

The data to be displayed in this layer. There are three options:

If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot().

A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created.

A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)).

stat

The statistical transformation to use on the data for this layer, either as a ggproto Geom subclass or as a string naming the stat stripped of the stat_ prefix (e.g. "count" rather than "stat_count")

position

Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

show.legend

logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.

inherit.aes

If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders().

r

The radius where donut is placed

cut

Sets additional two-sided gap for pins

layout

The layout function to effectively display text and labels. Obviously it's better to have the same as for geom_label_ext or geom_text_ext

...

Parameters to be passed to geom_pin_line() and geom_pin_head()

head

Boolean - defines whether to add pin head

Value

None

Examples

n <- 30
set.seed(2021)
df <- dplyr::tibble(
  lvl1 = sample(LETTERS[1:5], n, TRUE),
  lvl2 = sample(LETTERS[6:24], n, TRUE),
  value = sample(1:20, n, TRUE),
  highlight_ext = sample(c(FALSE,TRUE), n, TRUE, c(.9, .1))) |>
  dplyr::mutate(highlight_int = dplyr::if_else(lvl1 == "A", TRUE, FALSE))

# Starting plot with doubled donuts and annotations for internal one
p <- dplyr::group_by(df, lvl1, lvl2, highlight_ext, highlight_int) |>
  dplyr::summarise(value = sum(value), .groups = "drop") |>
  packing(value, lvl1) |>
  ggplot(aes(value = value, fill = lvl1)) +
  geom_donut_int(aes(highlight = highlight_int), alpha=.5, r_int = .25) +
  geom_label_int(aes(label = "Sum {fill}:\n{.sum}-{scales::percent(.prc)}"),
                 alpha = .6, col = "white", size = 3, r=1.2) +
  geom_donut_ext(aes(opacity = lvl2, highlight = highlight_ext)) +
  scale_fill_viridis_d(option = "inferno", begin = .1, end = .7) +
  guides(alpha = guide_legend(ncol = 2), fill = guide_legend(ncol = 2)) +
  theme_void() +
  theme(legend.position = "none")

p + coord_radial(theta = "y", expand = FALSE, rotate_angle = FALSE)


# Add labels to external donut as percent inside group
p + coord_radial(theta = "y", expand = FALSE, rotate_angle = FALSE) +
  geom_label_ext(aes(label = paste0(lvl2, ": {scales::percent(.prc_grp)}")),
                 show.legend = FALSE, size=3, col="white") +
  geom_pin(size = .5, linewidth=.1, show.legend = FALSE, cut = .2)


# Leverage tv() layout
p + coord_radial(theta = "y", expand = FALSE, rotate_angle = FALSE) +
  geom_label_ext(aes(label = paste0(lvl2, ":{scales::percent(.prc_grp)}")),
                 show.legend = FALSE, size=3, col="white",
                 layout = tv(thinner = TRUE, thinner_gap = .15)) +
  geom_pin(size = .5, linewidth=.1, show.legend = FALSE, cut = .2,
           layout = tv(thinner = TRUE, thinner_gap = .15))


# Leverage another layout
p + coord_radial(theta = "y", expand = FALSE, rotate_angle = FALSE) +
  geom_label_ext(aes(label = paste0(lvl2, ": {scales::percent(.prc_grp)}")),
                 show.legend = FALSE, size=3, col="white", layout = eye()) +
  geom_pin(size = .5, linewidth=.1, show.legend = FALSE, layout = eye())