geom_stratum {ggalluvial} | R Documentation |
Strata at axes
Description
geom_stratum
receives a dataset of the horizontal (x
) and vertical (y
,
ymin
, ymax
) positions of the strata of an alluvial plot. It plots
rectangles for these strata of a provided width
.
Usage
geom_stratum(
mapping = NULL,
data = NULL,
stat = "stratum",
position = "identity",
show.legend = NA,
inherit.aes = TRUE,
width = 1/3,
na.rm = FALSE,
...
)
Arguments
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data; override the default. |
position |
Position adjustment, either as a string naming the adjustment
(e.g. |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
width |
Numeric; the width of each stratum, as a proportion of the distance between axes. Defaults to 1/3. |
na.rm |
Logical:
if |
... |
Additional arguments passed to |
Aesthetics
geom_alluvium
, geom_flow
, geom_lode
, and geom_stratum
understand the
following aesthetics (required aesthetics are in bold):
-
x
-
y
-
ymin
-
ymax
-
alpha
-
colour
-
fill
-
linetype
-
size
-
group
group
is used internally; arguments are ignored.
Defunct parameters
The previously defunct parameters axis_width
and ribbon_bend
have been
discontinued. Use width
and knot.pos
instead.
See Also
ggplot2::layer()
for additional arguments and
stat_stratum()
for the corresponding stat.
Other alluvial geom layers:
geom_alluvium()
,
geom_flow()
,
geom_lode()
Examples
# full axis width
ggplot(as.data.frame(Titanic),
aes(y = Freq,
axis1 = Class, axis2 = Sex, axis3 = Age, axis4 = Survived)) +
geom_stratum(width = 1) +
geom_text(stat = "stratum", aes(label = after_stat(stratum))) +
scale_x_discrete(limits = c("Class", "Sex", "Age", "Survived"))
# use of facets
ggplot(as.data.frame(Titanic),
aes(y = Freq,
axis1 = Class, axis2 = Sex)) +
geom_flow(aes(fill = Survived)) +
geom_stratum() +
geom_text(stat = "stratum", aes(label = after_stat(stratum))) +
scale_x_discrete(limits = c("Class", "Sex")) +
facet_wrap(~ Age, scales = "free_y")