geom_xsidebar: Side bar Charts

In ggside: Side Grammar Graphics

Side bar Charts

Description

The xside and yside variants of geom_bar is geom_xsidebar and geom_ysidebar. These variants both inherit from geom_bar and only differ on where they plot data relative to main panels.

The xside and yside variants of geom_col is geom_xsidecol and geom_ysidecol. These variants both inherit from geom_col and only differ on where they plot data relative to main panels.

Usage

geom_xsidebar(
  mapping = NULL,
  data = NULL,
  stat = "count",
  position = "stack",
  ...,
  width = NULL,
  na.rm = FALSE,
  orientation = "x",
  show.legend = NA,
  inherit.aes = TRUE
)

geom_ysidebar(
  mapping = NULL,
  data = NULL,
  stat = "count",
  position = "stack",
  ...,
  width = NULL,
  na.rm = FALSE,
  orientation = "y",
  show.legend = NA,
  inherit.aes = TRUE
)

geom_xsidecol(
  mapping = NULL,
  data = NULL,
  position = "stack",
  ...,
  width = NULL,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

geom_ysidecol(
  mapping = NULL,
  data = NULL,
  position = "stack",
  ...,
  width = NULL,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  orientation = "y"
)

Arguments

mapping	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.
data	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)).
stat	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	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.
width	Bar width. By default, set to 90% of the resolution() of the data.
na.rm	If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.
orientation	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.
show.legend	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.
inherit.aes	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().

Value

XLayer or YLayer object to be added to a ggplot object

Aesthetics

Required aesthetics are in bold.

• x

• y

• fill or xfill Fill color of the xsidebar

• fill or yfill Fill color of the ysidebar

• width specifies the width of each bar

• height specifies the height of each bar

• alpha Transparency level of xfill or yfill

• size size of the border line.

See Also

geom_xsidehistogram, geom_ysidehistogram

Examples

p <-ggplot(iris, aes(Sepal.Width, Sepal.Length, color = Species, fill = Species)) +
geom_point()

#sidebar - uses StatCount
p +
geom_xsidebar() +
geom_ysidebar()

#sidecol - uses Global mapping
p +
  geom_xsidecol() +
  geom_ysidecol()

ggside documentation built on Dec. 5, 2022, 1:07 a.m.