geom_bullseye: Create bottom-aligned bullet chart

In al-obrien/farrago: A random collection of helpful code baubles

Create bottom-aligned bullet chart

Description

geom_bullseye create a bullet chart with all the circles aligned to the bottom.

Usage

geom_bullseye(
  mapping = NULL,
  data = NULL,
  geom = "polygon",
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  ...
)

Arguments

mapping	Set of aesthetic mappings created by aes() or 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)).
position	Position adjustment, either as a string, or the result of a call to a position adjustment function.
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().
...	Other arguments passed on to layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3. They may also be parameters to the paired geom/stat.

Details

Since this is a specialized plot, it requires data in a specific format (similar to line charts). The x parameter must be the proportion of each category (i.e. the percentage one category is from the total). A group must also be provided in a form of fill, group, color. It is also recommended to add coord_equal and to adjust the theme to something more minimal (e.g. ggthemes::theme_map()). Labeling the circles may be difficult at this time, but a future version may make this easier without having to do additional calculations for ideal placement. Factor levels may also need to be reordered (e.g. using forcats). Alternatively, instead of using this custom Stat, one could just use programming methods with ggplot2.

Examples

## Not run: 
library(ggplot2)
library(magrittr)
library(tibble)
library(forcats)

# Create data
data <- tribble(~Grouping, ~Cases,
                "Step1", 4000,
                "Step2", 2300,
                "ThirdStep", 200,
                "Step4", 20)

# Plot data
ggplot(data = data, aes(x = Cases, fill = fct_rev(fct_reorder(Grouping, Cases)))) +
  geom_bullseye()
  coord_equal() +
  ggthemes::theme_map() +
  theme(legend.title = element.blank(),
        legend.position = 'right')
 
## End(Not run)

al-obrien/farrago documentation built on April 14, 2023, 6:20 p.m.