Create boxplot for continuous features

Source: R/plot_boxplot.r

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

plot_boxplot(
  data,
  by,
  binary_as_factor = TRUE,
  geom_boxplot_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
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)