geom_pictogram: Pictogram Geom
In waffle: Create Waffle Chart Visualizations

geom_pictogram

R Documentation

Pictogram Geom

Description

There are two special/critical aes() mappings:

label (so the geom knows which column to map the glyphs to)
values (which column you're mapping the filling for the squares with)

Usage

geom_pictogram(
  mapping = NULL,
  data = NULL,
  n_rows = 10,
  make_proportional = FALSE,
  flip = FALSE,
  ...,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

GeomPictogram

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.
`n_rows`	how many rows should there be in the waffle chart? default is 10
`make_proportional`	compute proportions from the raw values? (i.e. each value `n` will be replaced with `n`/`sum(n)`); default is `FALSE`.
`flip`	If `TRUE`, flip x and y coords. n_rows then becomes n_cols. Useful to achieve waffle column chart effect. Defaults is `FALSE`.
`...`	other arguments passed on to `layer()`. These are often aesthetics, used to set an aesthetic to a fixed value, like `color = "red"` or `size = 3`. They may also be parameters to the paired geom/stat.
`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()`.