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Convenient geometries for proportion bar plots

Source: R/stat_prop.R
geom_prop_bar.Rd

geom_prop_bar() and geom_prop_text() are variations of ggplot2::geom_bar() and ggplot2::geom_text() using stat_prop(), with custom default aesthetics: after_stat(prop) for x or y, and scales::percent(after_stat(prop)) for label.

Usage

geom_prop_bar(
  mapping = NULL,
  data = NULL,
  position = "stack",
  ...,
  complete = NULL,
  default_by = "x"
)

geom_prop_text(
  mapping = ggplot2::aes(!!!auto_contrast),
  data = NULL,
  position = ggplot2::position_stack(0.5),
  ...,
  complete = NULL,
  default_by = "x"
)

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)).

position

A position adjustment to use on the data for this layer. This can be used in various ways, including to prevent overplotting and improving the display. The position argument accepts the following:

  • The result of calling a position function, such as position_jitter(). This method allows for passing extra arguments to the position.

  • A string naming the position adjustment. To give the position as a string, strip the function name of the position_ prefix. For example, to use position_jitter(), give the position as "jitter".

  • For more information and other ways to specify the position, see the layer position documentation.

...

Other arguments passed on to layer()'s params argument. These arguments broadly fall into one of 4 categories below. Notably, further arguments to the position argument, or aesthetics that are required can not be passed through .... Unknown arguments that are not part of the 4 categories below are ignored.

  • Static aesthetics that are not mapped to a scale, but are at a fixed value and apply to the layer as a whole. For example, colour = "red" or linewidth = 3. The geom's documentation has an Aesthetics section that lists the available options. The 'required' aesthetics cannot be passed on to the params. Please note that while passing unmapped aesthetics as vectors is technically possible, the order and required length is not guaranteed to be parallel to the input data.

  • When constructing a layer using a stat_*() function, the ... argument can be used to pass on parameters to the geom part of the layer. An example of this is stat_density(geom = "area", outline.type = "both"). The geom's documentation lists which parameters it can accept.

  • Inversely, when constructing a layer using a geom_*() function, the ... argument can be used to pass on parameters to the stat part of the layer. An example of this is geom_area(stat = "density", adjust = 0.5). The stat's documentation lists which parameters it can accept.

  • The key_glyph argument of layer() may also be passed on through .... This can be one of the functions described as key glyphs, to change the display of the layer in the legend.

complete

Name (character) of an aesthetic for those statistics should be completed for unobserved values (see example).

default_by

If the by aesthetic is not available, name of another aesthetic that will be used to determine the denominators (e.g. "fill"), or NULL or "total" to compute proportions of the total. To be noted, default_by = "x" works both for vertical and horizontal bars.

Examples

library(ggplot2)
d <- as.data.frame(Titanic)
ggplot(d) +
  aes(y = Class, fill = Survived, weight = Freq) +
  geom_prop_bar() +
  geom_prop_text()


ggplot(d) +
  aes(
    y = Class,
    fill = Survived,
    weight = Freq,
    x = after_stat(count),
    label = after_stat(count)
  ) +
  geom_prop_bar() +
  geom_prop_text()