geom_float: Floating bar charts

In abikoushi/ggfloatbar: floating barchart

Floating bar charts

Description

geom_float draws a horizontal line placed at the corresponding value. It can be used to compare one continuous and one categorical variable.

geom_floatbar fills in the differences between multiple variables.

Usage

geom_float(mapping = NULL,
  data = NULL,
  stat = "identity",
  position =   "identity",
  ...,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE)

geom_floatbar(mapping = NULL,
  data = NULL,
  stat = "diff",
  position = "identity",
  ...,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE)

Arguments

mapping	Set of aesthetic mappings created by aes() or 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.
stat	Use to override the default connection between geom_floatbar() and stat_diff().
position	Position adjustment, either as a string, or the result of a call to a position adjustment function.
...	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.

na.rm	If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.
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().

Aesthetics

geom_float() and geom_floatbar() understand the following aesthetics (required aesthetics are in bold):

• x

• y

• alpha

• colour

• fill

• group

• linetype

• stroke

Learn more about setting these aesthetics in vignette("ggplot2-specs").

Author(s)

Ko ABE

Examples

ggplot(sleep, aes(x=ID, y=extra, colour=group))+
  geom_float()

ggplot(sleep, aes(x=ID, y=extra, colour=group))+
     geom_floatbar()+
     geom_float()

abikoushi/ggfloatbar documentation built on Feb. 9, 2024, 8:12 p.m.