There are two special/critical aes()
mappings:
fill
(so the geom knows which column to map the fills to)
values
(which column you're mapping the filling for the squares with)
geom_waffle(
mapping = NULL,
data = NULL,
n_rows = 10,
make_proportional = FALSE,
flip = FALSE,
na.rm = FALSE,
show.legend = NA,
radius = grid::unit(0, "npc"),
inherit.aes = TRUE,
...
)GeomWaffle
stat_waffle(
mapping = NULL,
data = NULL,
geom = "waffle",
n_rows = 10,
make_proportional = FALSE,
flip = FALSE,
radius = grid::unit(0, "npc"),
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
...
)
StatWaffle
An object of class GeomWaffle
(inherits from GeomRtile
, GeomRrect
, Geom
, ggproto
, gg
) of length 5.
An object of class StatWaffle
(inherits from Stat
, ggproto
, gg
) of length 8.
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.
how many rows should there be in the waffle chart? default is 10
compute proportions from the raw values? (i.e. each
value n
will be replaced with n
/sum(n)
); default is FALSE
.
If TRUE
, flip x and y coords. n_rows then becomes n_cols.
Useful to achieve waffle column chart effect. Defaults is FALSE
.
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.
radius for round squares
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()
.
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.
geom to use (default is "waffle")
data.frame(
parts = factor(rep(month.abb[1:3], 3), levels=month.abb[1:3]),
vals = c(10, 20, 30, 6, 14, 40, 30, 20, 10),
fct = c(rep("Thing 1", 3), rep("Thing 2", 3), rep("Thing 3", 3))
) -> xdf
ggplot(xdf, aes(fill = parts, values = vals)) +
geom_waffle() +
facet_wrap(~fct)
Run the code above in your browser using DataLab