geom_chau_boxplot: Title: Chauvenet-type boxplot in ggplot2

View source: R/geom_chau_boxplot.R

geom_chau_boxplotR Documentation

Title: Chauvenet-type boxplot in ggplot2

Description

This function can be operated the same way as geom_boxplot() in ggplot2, except that the fence coefficient k=1.5 in Tukey's boxplot is replaced by the fence coefficient associated with Chauvenet’s criterion. For details, please refer to formula (9) in Lin et al. (2025).

Usage

geom_chau_boxplot(
  mapping = NULL,
  data = NULL,
  geom = "boxplot",
  position = "dodge2",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  ...
)

Arguments

mapping

Aesthetic mappings created by 'aes()'.

data

The data to be displayed in this layer.

geom

The geometric object to use for display.

position

The position adjustment.

na.rm

Logical. Should missing values be removed?

show.legend

Logical. Should this layer be included in the legends?

inherit.aes

If FALSE, overrides the default aesthetics.

...

Other arguments passed to the layer.

Value

A ggplot2 layer with the Chauvenet-type boxplot.

References

Hongmei Lin, Riquan Zhang and Tiejun Tong (2025). When Tukey meets Chauvenet: a new boxplot criterion for outlier detection. Journal of Computational and Graphical Statistics, accepted.

Examples

# Example 1
library(ggplot2)

rate.senior <- c(4.96, 6.30, -5.38, 1.60, 7.24, 5.26, 2.55, 5.96, 3.96,
                 4.19, 1.88, 4.06, 4.75, 0, 0, 2.5, 2.87, 3.00)/100
year <- 2007:2024
data.senior <- data.frame(x=year, y=rate.senior)

C.boxplot.senior <-
  ggplot(data.senior, aes(y=rate.senior)) +
  geom_chau_boxplot(fill="purple",width=3) +
  theme(legend.position = "none") +
  scale_x_discrete(breaks = NULL) +
  ylim(-0.057,0.077) +
  theme(plot.margin = unit(c(0, 0, 0, 0), "inches")) +
  labs(title="C.boxplot", subtitle="Senior civil servants", x="", y="")

print(C.boxplot.senior)

ChauBoxplot documentation built on June 8, 2025, 10:40 a.m.