geom_boxplot2: A box and whiskers plot (in the style of Tukey)

In jbkunst/kunstomverse: Easily Install and Load Select Packages

A box and whiskers plot (in the style of Tukey)

Description

All credits to @kongdd https://github.com/rpkgs/Ipaper

Usage

geom_boxplot2(
  mapping = NULL,
  data = NULL,
  stat = "boxplot",
  position = "dodge2",
  ...,
  outlier.colour = NULL,
  outlier.color = NULL,
  outlier.fill = NULL,
  outlier.shape = 19,
  outlier.size = 1.5,
  outlier.stroke = 0.5,
  outlier.alpha = NULL,
  show.errorbar = TRUE,
  width.errorbar = 0.7,
  notch = FALSE,
  notchwidth = 0.5,
  varwidth = FALSE,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

Arguments

mapping	mapping
data	data
stat	stat
position	position
...	...
outlier.colour	outlier.colour
outlier.color	outlier.color
outlier.fill	outlier.fill
outlier.shape	outlier.shape
outlier.size	outlier.size
outlier.stroke	outlier.stroke
outlier.alpha	outlier.alpha
show.errorbar	boolean
width.errorbar	width of errorbar.
notch	If 'FALSE' (default) make a standard box plot. If 'TRUE', make a notched box plot. Notches are used to compare groups; if the notches of two boxes do not overlap, this suggests that the medians are significantly different.
notchwidth	For a notched box plot, width of the notch relative to the body (defaults to 'notchwidth = 0.5').
varwidth	If 'FALSE' (default) make a standard box plot. If 'TRUE', boxes are drawn with widths proportional to the square-roots of the number of observations in the groups (possibly weighted, using the 'weight' aesthetic).
na.rm	na.rm
show.legend	show.legend
inherit.aes	inherit.aes

Examples

df <- data.frame(
  x = sample(LETTERS[1:3], prob = 1:3, size = 1000, replace = TRUE),
  y = rgamma(1000, shape = 1)
)

df <- data.frame(
  x = sample(LETTERS[1:3], prob = 1:3, size = 1000, replace = TRUE),
  y = rt(1000, df = 3)
)

ggplot(df) +
  geom_boxplot(aes(x, y))

ggplot(df) +
  geom_boxplot2(aes(x, y))

ggplot(df) +
  geom_boxplot2(aes(x, y), width.errorbar = 0.2, width = 0.25)

jbkunst/kunstomverse documentation built on May 30, 2022, 12:15 a.m.