The label parameter can be either a 2-letter state abbreviation or a full state name. geom_stateface() will take care of the translation to StateFace font glyph characters.

geom_stateface(mapping = NULL, data = NULL, stat = "identity",
  position = "identity", ..., parse = FALSE, nudge_x = 0,
  nudge_y = 0, check_overlap = FALSE, na.rm = FALSE,
  show.legend = NA, inherit.aes = TRUE)



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.


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.


The statistical transformation to use on the data for this layer, as a string.


Position adjustment, either as a string, or the result of a call to a position adjustment function.


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.


If TRUE, the labels will be parsed into expressions and displayed as described in ?plotmath.

nudge_x, nudge_y

Horizontal and vertical adjustment to nudge l abels by. Useful for offsetting text from points, particularly on discrete scales.


If TRUE, text that overlaps previous text in the same layer will not be plotted.


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


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.


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().


The package will also take care of loading the StateFace font for PDF and other devices, but to use it with the on-screen ggplot2 device, you'll need to install the font on your system.

ggalt ships with a copy of the StateFace TTF font. You can run show_stateface() to get the filesystem location and then load the font manually from there.

A sample of the output from geom_stateface(): Figure: geomstateface01.png

See also

Other StateFace operations: load_stateface, show_stateface



# Run show_stateface() to see the location of the TTF StateFace font
# You need to install it for it to work

dat <- data.frame(,
                  x=sample(100, 50),
                  y=sample(100, 50),
                  col=sample(c("#b2182b", "#2166ac"), 50, replace=TRUE),
                  sz=sample(6:15, 50, replace=TRUE),
gg <- ggplot(dat, aes(x=x, y=y))
gg <- gg + geom_stateface(aes(label=state, color=col, size=sz))
gg <- gg + scale_color_identity()
gg <- gg + scale_size_identity()
# }