There are two special/critical
geom_pictogram(mapping = NULL, data = NULL, n_rows = 10,
make_proportional = FALSE, flip = FALSE, ..., na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE)
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.
The data to be displayed in this layer. There are three
NULL, the default, the data is inherited from the plot
data as specified in the call to
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.
function will be called with a single argument,
the plot data. The return value must be a
will be used as the layer data.
how many rows should there be in the waffle chart? default is 10
compute proportions from the raw values? (i.e. each
n will be replaced with
sum(n)); default is
TRUE, flip x and y coords. n_rows then becomes n_cols.
Useful to achieve waffle column chart effect. Defaults is
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.
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
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.
An object of class
GeomPictogram (inherits from
gg) of length 5.