A mosaic plot with text or labels
geom_mosaic_text(
mapping = NULL,
data = NULL,
stat = "mosaic",
position = "identity",
na.rm = FALSE,
divider = mosaic(),
offset = 0.01,
show.legend = NA,
inherit.aes = FALSE,
as.label = FALSE,
repel = FALSE,
repel_params = NULL,
check_overlap = FALSE,
...
)
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 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. A function
can be created
from a formula
(e.g. ~ head(.x, 10)
).
The statistical transformation to use on the data for this layer.
When using a geom_*()
function to construct a layer, the stat
argument can be used the override the default coupling between geoms and
stats. The stat
argument accepts the following:
A Stat
ggproto subclass, for example StatCount
.
A string naming the stat. To give the stat as a string, strip the
function name of the stat_
prefix. For example, to use stat_count()
,
give the stat as "count"
.
For more information and other ways to specify the stat, see the layer stat documentation.
A position adjustment to use on the data for this layer. This
can be used in various ways, including to prevent overplotting and
improving the display. The position
argument accepts the following:
The result of calling a position function, such as position_jitter()
.
This method allows for passing extra arguments to the position.
A string naming the position adjustment. To give the position as a
string, strip the function name of the position_
prefix. For example,
to use position_jitter()
, give the position as "jitter"
.
For more information and other ways to specify the position, see the layer position documentation.
If FALSE
(the default), removes missing values with a warning. If TRUE
silently removes missing values.
Divider function. The default divider function is mosaic() which will use spines in alternating directions. The four options for partitioning:
vspine
Vertical spine partition: width constant, height varies.
hspine
Horizontal spine partition: height constant, width varies.
vbar
Vertical bar partition: height constant, width varies.
hbar
Horizontal bar partition: width constant, height varies.
Set the space between the first spine
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()
.
Show as a ggplot label (box with round corners)
Use ggrepel wo labels don't overlap
List of ggrepel parameters (e.g. list(point.padding = 0))
If TRUE
, text that overlaps previous text in the
same layer will not be plotted. check_overlap
happens at draw time and in
the order of the data. Therefore data should be arranged by the label
column before calling geom_label()
or geom_text()
.
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.
data(titanic)
ggplot(data = titanic) +
geom_mosaic(aes(x = product(Class), fill = Survived)) +
geom_mosaic_text(aes(x = product(Class), fill = Survived))
ggplot(data = titanic) +
geom_mosaic(aes(x = product(Class, Sex), fill = Survived),
divider = c("vspine", "hspine", "hspine")) +
geom_mosaic_text(aes(x = product(Class, Sex), fill = Survived),
divider = c("vspine", "hspine", "hspine"), size = 2)
ggplot(data = happy) +
geom_mosaic(aes(x = product(health), fill = happy), na.rm = TRUE, show.legend = FALSE) +
geom_mosaic_text(aes(x = product(happy, health)), na.rm = TRUE)
# avoid overlapping text
ggplot(data = happy) +
geom_mosaic(aes(x = product(health), fill = happy), na.rm = TRUE, show.legend = FALSE) +
geom_mosaic_text(aes(x = product(happy, health)), na.rm = TRUE, check_overlap = TRUE)
# or use ggrepel
ggplot(data = happy) +
geom_mosaic(aes(x = product(health), fill = happy), na.rm = TRUE, show.legend = FALSE) +
geom_mosaic_text(aes(x = product(happy, health)), na.rm = TRUE, repel = TRUE)
# and as a label
ggplot(data = happy) +
geom_mosaic(aes(x = product(health), fill = happy), na.rm = TRUE, show.legend = FALSE) +
geom_mosaic_text(aes(x = product(happy, health)), na.rm = TRUE, repel = TRUE, as.label=TRUE)