Plot bar chart

Plot bar chart for each discrete feature, based on either frequency or another continuous feature.

Usage

plot_bar(
  data,
  with = NULL,
  by = NULL,
  by_position = "fill",
  maxcat = 50,
  order_bar = TRUE,
  binary_as_factor = TRUE,
  title = NULL,
  ggtheme = theme_gray(),
  theme_config = list(),
  nrow = 3L,
  ncol = 3L,
  parallel = FALSE
)

Arguments

data

input data

with

name of continuous feature to be summed. Default is NULL, i.e., frequency.

by

discrete feature name to be broken down by.

by_position

position argument in geom_bar if by is supplied. Default is "fill".

maxcat

maximum categories allowed for each feature. Default is 50.

order_bar

logical, indicating if bars should be ordered. Default is TRUE.

binary_as_factor

treat binary as categorical? Default is TRUE.

title

plot title

ggtheme

complete ggplot2 themes. Default is theme_gray.

theme_config

a list of configurations to be passed to theme

nrow

number of rows per page. Default is 3.

ncol

number of columns per page. Default is 3.

parallel

enable parallel? Default is FALSE.

Value

invisibly return the named list of ggplot objects

Details

If a discrete feature contains more categories than maxcat specifies, it will not be passed to the plotting function.

Examples

# Plot bar charts for diamonds dataset
library(ggplot2)
plot_bar(diamonds)

plot_bar(diamonds, maxcat = 5)
#> 2 columns ignored with more than 5 categories.
#> color: 7 categories
#> clarity: 8 categories


# Plot bar charts with `price`
plot_bar(diamonds, with = "price")


# Plot bar charts by `cut`
plot_bar(diamonds, by = "cut")

plot_bar(diamonds, by = "cut", by_position = "dodge")