stat_treemap: Calculate a treemap from data
In econandrew/ggtreemap: Treemap for ggplot2

Description Usage Arguments Details Aesthetics Examples

View source: R/stat-treemap.R

A stat to turn data into treemaps.

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stat_treemap(mapping = NULL, data = NULL, geom = "rect",
  position = "identity", na.rm = FALSE, show.legend = NA,
  inherit.aes = TRUE, label.position = c(0.5, 0.5), aspect.ratio = 1, ...)

`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.
`geom`	The geometric object to use display the data
`position`	Position adjustment, either as a string, or the result of a call to a position adjustment function.
`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()`.
`label.position`	If used with a geom that uses a single x, y location ( most likely geom_text), this determines where in each treemap box that location is set to, using a two element numeric vector. These are used to locate the point within the box.
`aspect.ratio`	(width / height) The standard 'squarified' algorithm aims to produce square-ish treemap boxes, and this aspect ratio determines what 'square-ish' is. If you set it to the actual aspect ratio of the output device, you will ensure square-ishness.

Use with geom_rect, mostly.

stat_treemap accepts the following aesthetics:

area: the column used to scale the drawn areas of the treemap
layout_area: an optional column used for areas that will be used for layout but not drawn
subgroup: a column used for grouping of areas

and applies the layout algorithm to produce

x, xmin, xmax
y, ymin, ymax

library(tidyr)
library(dplyr)
library(ggplot2)
library(ggtreemap)

df <- data.frame(
  label = c("a1", "a2", "b1", "c1", "c2"),
  group = c("a", "a", "b", "c", "c"),
  size = c(0.5,4,2,1,0.5)
)

ggplot(df, aes(area = size, fill = group, subgroup = group)) +
  geom_rect(stat = "treemap", mapping = aes(layout_area = size * 2), color = "white") +
  geom_rect(stat = "treemap", alpha = 0.5, color = "white") +
  theme_minimal() +
  theme(axis.text = element_blank(), panel.grid = element_blank())

ggplot(df, aes(area = size, fill = group, subgroup = group)) +
  geom_rect(stat = "treemap", color = "white") +
  geom_text(aes(label = label), stat = "treemap") +
  geom_rect(data = aggregate(size ~ group, df, sum), stat="treemap", fill = NA, color = "white", size=2) +
  geom_label(
    data = aggregate(size ~ group, df, sum),
    aes(label = group),
    label.position = c(0, 0),
    hjust = 0, vjust = 1,
    nudge_x = 0.025, nudge_y = -0.025,
    fill = "white",
    stat = "treemap") +
  scale_y_reverse() +
  theme_minimal()