plot_density: Plot density estimates

In DataExplorer: Automate Data Exploration and Treatment

Plot density estimates

Description

Plot density estimates for each continuous feature

Usage

plot_density(
  data,
  binary_as_factor = TRUE,
  geom_density_args = list(),
  scale_x = "continuous",
  title = NULL,
  ggtheme = theme_gray(),
  theme_config = list(),
  nrow = 4L,
  ncol = 4L,
  parallel = FALSE
)

Arguments

data	input data
binary_as_factor	treat binary as categorical? Default is TRUE.
geom_density_args	a list of other arguments to geom_density
scale_x	scale of x axis. See scale_x_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. Default is 4.
ncol	number of columns per page. Default is 4.
parallel	enable parallel? Default is FALSE.

Value

invisibly return the named list of ggplot objects

See Also

geom_density plot_histogram

Examples

# Plot iris data
plot_density(iris, ncol = 2L)

# Add color to density area
plot_density(iris, geom_density_args = list("fill" = "black", "alpha" = 0.6), ncol = 2L)

# Plot skewed data on log scale
set.seed(1)
skew <- data.frame(replicate(4L, rbeta(1000, 1, 5000)))
plot_density(skew, ncol = 2L)
plot_density(skew, scale_x = "log10", ncol = 2L)

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