Histograms per numeric column — plot

Produces one ggplot histogram per numeric column of df. Each plot caption shows the observation count, mean, SD, and median of the column. A progress bar is printed to the console.

Usage

plot_histogram(
  df,
  bins = 30,
  title = "",
  base_size = 10,
  xlims = NULL,
  fill = "gray25",
  color = "gray50",
  ylab = "Count",
  pb = FALSE
)

Arguments

df: Data frame or numeric vector. Non-numeric columns are silently dropped.
bins: Number of histogram bins passed to ggplot2::geom_histogram(). Default is 30.
title: Character string used as the plot title. Default is "".
base_size: Base font size passed to theme_bw(). Default is 10.
xlims: Length-2 numeric vector setting the x-axis limits, e.g. c(0, 50). When NULL (default) limits are determined automatically.
fill: Fill colour of the histogram bars. Default is "gray25".
color: Outline colour of the histogram bars. Default is "gray50".
ylab: Y-axis label. Default is "Count".
pb: Logical; whether to display a progress bar in the console. Default is FALSE.

Value

A named list of ggplot objects, one per numeric column.

Examples

vector <- generate_missing(rnorm(50), missing = 10)
df <- generate_missing(mtcars[, 1:2], missing = 10)
plot_histogram(df = vector)

plot_histogram(df = df, xlims = c(0, 50))


plot_histogram(df = df)


plot_multiplot(plotlist = plot_histogram(df = mtcars[,1:4]), cols = 2)