The xside and yside variants of geom_histogram is geom_xsidehistogram and geom_ysidehistogram. These variants both inherit from geom_histogram and only differ on where they plot data relative to main panels.
geom_xsidehistogram(
mapping = NULL,
data = NULL,
stat = "bin",
position = "stack",
...,
binwidth = NULL,
bins = NULL,
na.rm = FALSE,
orientation = "x",
show.legend = NA,
inherit.aes = TRUE
)geom_ysidehistogram(
mapping = NULL,
data = NULL,
stat = "bin",
position = "stack",
...,
binwidth = NULL,
bins = NULL,
na.rm = FALSE,
orientation = "y",
show.legend = NA,
inherit.aes = TRUE
)
XLayer or YLayer object to be added to a ggplot object
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, either as a ggproto Geom subclass or as a string naming the
stat stripped of the stat_ prefix (e.g. "count" rather than
"stat_count")
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.
Other arguments passed on to layer(). These are
often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red" or size = 3. They may also be parameters
to the paired geom/stat.
The width of the bins. Can be specified as a numeric value
or as a function that calculates width from unscaled x. Here, "unscaled x"
refers to the original x values in the data, before application of any
scale transformation. When specifying a function along with a grouping
structure, the function will be called once per group.
The default is to use the number of bins in bins,
covering the range of the data. You should always override
this value, exploring multiple widths to find the best to illustrate the
stories in your data.
The bin width of a date variable is the number of days in each time; the bin width of a time variable is the number of seconds.
Number of bins. Overridden by binwidth. Defaults to 30.
If FALSE, the default, missing values are removed with
a warning. If TRUE, missing values are silently removed.
The orientation of the layer. The default (NA)
automatically determines the orientation from the aesthetic mapping. In the
rare event that this fails it can be given explicitly by setting orientation
to either "x" or "y". See the Orientation section for more detail.
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().
geom_*sidehistogram uses the same aesthetics as geom_*sidebar()
p <-ggplot(iris, aes(Sepal.Width, Sepal.Length, color = Species, fill = Species)) +
geom_point()
#sidehistogram
p +
geom_xsidehistogram(binwidth = 0.1) +
geom_ysidehistogram(binwidth = 0.1)
p +
geom_xsidehistogram(aes(y = after_stat(density)), binwidth = 0.1) +
geom_ysidehistogram(aes(x = after_stat(density)), binwidth = 0.1)
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