plot_boxplot: Create boxplot for continuous features

In DataExplorer: Automate Data Exploration and Treatment

Create boxplot for continuous features

Description

This function creates boxplot for each continuous feature based on a selected feature.

Usage

plot_boxplot(
  data,
  by,
  binary_as_factor = TRUE,
  geom_boxplot_args = list(),
  geom_jitter_args = list(),
  scale_y = "continuous",
  title = NULL,
  ggtheme = theme_gray(),
  theme_config = list(),
  nrow = 3L,
  ncol = 4L,
  parallel = FALSE
)

Arguments

data	input data
by	feature name to be broken down by. If selecting a continuous feature, boxplot will be grouped by 5 equal ranges, otherwise, all existing categories for a discrete feature.
binary_as_factor	treat binary as categorical? Default is TRUE.
geom_boxplot_args	a list of other arguments to geom_boxplot
geom_jitter_args	a list of other arguments to geom_jitter. If empty, geom_jitter will not be added.
scale_y	scale of original y axis (before coord_flip). See scale_y_continuous for all options. Default is continuous.
title	plot title
ggtheme	complete ggplot2 themes. The default is theme_gray.
theme_config	a list of configurations to be passed to theme.
nrow	number of rows per page
ncol	number of columns per page
parallel	enable parallel? Default is FALSE.

Value

invisibly return the named list of ggplot objects

See Also

geom_boxplot

Examples

plot_boxplot(iris, by = "Species", ncol = 2L)
plot_boxplot(iris, by = "Species", geom_boxplot_args = list("outlier.color" = "red"))

# Plot skewed data on log scale
set.seed(1)
skew <- data.frame(y = rep(c("a", "b"), 500), replicate(4L, rbeta(1000, 1, 5000)))
plot_boxplot(skew, by = "y", ncol = 2L)
plot_boxplot(skew, by = "y", scale_y = "log10", ncol = 2L)

# Plot with `geom_jitter`
plot_boxplot(iris, by = "Species", ncol = 2L,
geom_jitter_args = list(width = NULL)) # Turn on with default settings

DataExplorer documentation built on May 29, 2024, 12:19 p.m.