geom_alluvium
receives a dataset of the horizontal (x
) and vertical (y
,
ymin
, ymax
) positions of the lodes of an alluvial plot, the
intersections of the alluvia with the strata. It plots both the lodes
themselves, using geom_lode()
, and the flows between them, using
geom_flow()
.
geom_alluvium(
mapping = NULL,
data = NULL,
stat = "alluvium",
position = "identity",
width = 1/3,
knot.pos = 1/4,
knot.prop = TRUE,
curve_type = NULL,
curve_range = NULL,
segments = NULL,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
...
)
data_to_alluvium(
data,
knot.prop = TRUE,
curve_type = "spline",
curve_range = NULL,
segments = NULL
)
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; override the default.
Position adjustment, either as a string naming the adjustment
(e.g. "jitter"
to use position_jitter
), or the result of a call to a
position adjustment function. Use the latter if you need to change the
settings of the adjustment.
Numeric; the width of each stratum, as a proportion of the distance between axes. Defaults to 1/3.
The horizontal distance of x-spline knots from each stratum
(width/2
from its axis), either (if knot.prop = TRUE
, the default) as a
proportion of the length of the x-spline, i.e. of the gap between adjacent
strata, or (if knot.prop = FALSE
) on the scale of the x
direction.
Logical; whether to interpret knot.pos
as a proportion of
the length of each flow (the default), rather than on the x
scale.
Character; the type of curve used to produce flows.
Defaults to "xspline"
and can be alternatively set to one of "linear"
,
"cubic"
, "quintic"
, "sine"
, "arctangent"
, and "sigmoid"
.
"xspline"
produces approximation splines using 4 points per curve; the
alternatives produce interpolation splines between points along the graphs
of functions of the associated type. See the Curves section.
For alternative curve_type
s based on asymptotic
functions, the value along the asymptote at which to truncate the function
to obtain the shape that will be scaled to fit between strata. See the
Curves section.
The number of segments to be used in drawing each alternative curve (each curved boundary of each flow). If less than 3, will be silently changed to 3.
Logical:
if FALSE
, the default, NA
lodes are not included;
if TRUE
, NA
lodes constitute a separate category,
plotted in grey (regardless of the color scheme).
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()
.
Additional arguments passed to ggplot2::layer()
.
The helper function data_to_alluvium()
takes internal ggplot2 data
(mapped aesthetics) and curve parameters for a single alluvium as input and
returns a data frame of x
, y
, and shape
used by grid::xsplineGrob()
to render the alluvium.
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.
By default, geom_alluvium()
and geom_flow()
render flows between lodes as
filled regions between parallel x-splines. These graphical elements,
generated using grid::xsplineGrob()
, are
parameterized by the relative location of the knot (knot.pos
). They are
quick to render and clear to read, but users may prefer plots that use
differently-shaped ribbons.
A variety of such options are documented at, e.g., this easing functions cheat sheet and this blog post by Jeffrey Shaffer. Easing functions are
not (yet) used in ggalluvial, but several alternative curves are available.
Each is encoded as a continuous, increasing, bijective function from the unit
interval \([0,1]\) to itself, and each is rescaled so that its endpoints
meet the corresponding lodes. They are rendered piecewise-linearly, by
default using segments = 48
. Summon each curve type by passing one of the
following strings to curve_type
:
"linear"
: \(f(x)=x\), the unique degree-1 polynomial that takes
0 to 0 and 1 to 1
"cubic"
: \(f(x)=3x^{2}-2x^{3}\), the unique
degree-3 polynomial that also is flat at both endpoints
"quintic"
: \(f(x)=10x^{3}-15x^{4}+6x^{5}\),
the unique degree-5 polynomial that also has zero curvature
at both endpoints
"sine"
: the unique sinusoidal function that is flat at both
endpoints
"arctangent"
: the inverse tangent function, scaled and re-centered to the
unit interval from the interval centered at zero with
radius curve_range
"sigmoid"
: the sigmoid function, scaled and re-centered to the unit
interval from the interval centered at zero with radius
curve_range
Only the (default) "xspline"
option uses the knot.*
parameters, while
only the alternative curves use the segments
parameter, and only
"arctangent"
and "sigmoid"
use the curve_range
parameter. (Both are
ignored if not needed.) Larger values of curve_range
result in greater
compression and steeper slopes. The NULL
default will be changed to
2+sqrt(3)
for "arctangent"
and to 6
for "sigmoid"
.
These package-specific options set global values for curve_type
,
curve_range
, and segments
that will be defaulted to when not manually
set:
ggalluvial.curve_type
: defaults to "xspline"
.
ggalluvial.curve_range
: defaults to NA
, which triggers the
curve-specific default values.
ggalluvial.segments
: defaults to 48L
.
See base::options()
for how to use options.
The previously defunct parameters axis_width
and ribbon_bend
have been
discontinued. Use width
and knot.pos
instead.
ggplot2::layer()
for additional arguments and
stat_alluvium()
and
stat_flow()
for the corresponding stats.
Other alluvial geom layers:
geom_flow()
,
geom_lode()
,
geom_stratum()
# basic
ggplot(as.data.frame(Titanic),
aes(y = Freq,
axis1 = Class, axis2 = Sex, axis3 = Age,
fill = Survived)) +
geom_alluvium() +
scale_x_discrete(limits = c("Class", "Sex", "Age"))
gg <- ggplot(alluvial::Refugees,
aes(y = refugees, x = year, alluvium = country))
# time series bump chart (quintic flows)
gg + geom_alluvium(aes(fill = country, colour = country),
width = 1/4, alpha = 2/3, decreasing = FALSE,
curve_type = "sigmoid")
# time series line plot of refugees data, sorted by country
gg + geom_alluvium(aes(fill = country, colour = country),
decreasing = NA, width = 0, knot.pos = 0)
# \donttest{
# irregular spacing between axes of a continuous variable
refugees_sub <- subset(alluvial::Refugees, year %in% c(2003, 2005, 2010, 2013))
gg <- ggplot(data = refugees_sub,
aes(x = year, y = refugees, alluvium = country)) +
theme_bw() +
scale_fill_brewer(type = "qual", palette = "Set3")
# proportional knot positioning (default)
gg +
geom_alluvium(aes(fill = country),
alpha = .75, decreasing = FALSE, width = 1/2) +
geom_stratum(aes(stratum = country), decreasing = FALSE, width = 1/2)
# constant knot positioning
gg +
geom_alluvium(aes(fill = country),
alpha = .75, decreasing = FALSE, width = 1/2,
knot.pos = 1, knot.prop = FALSE) +
geom_stratum(aes(stratum = country), decreasing = FALSE, width = 1/2)
# coarsely-segmented curves
gg +
geom_alluvium(aes(fill = country),
alpha = .75, decreasing = FALSE, width = 1/2,
curve_type = "arctan", segments = 6) +
geom_stratum(aes(stratum = country), decreasing = FALSE, width = 1/2)
# custom-ranged curves
gg +
geom_alluvium(aes(fill = country),
alpha = .75, decreasing = FALSE, width = 1/2,
curve_type = "arctan", curve_range = 1) +
geom_stratum(aes(stratum = country), decreasing = FALSE, width = 1/2)
# }