stacked_bar: Quick stacked bar plot

In MaksimRudnev/LittleHelpers: Helpers for comparative studies

Quick stacked bar plot

Description

Quick stacked bar plot

Usage

stacked_bar(
  variable,
  group,
  sort.cat = 1,
  colors = NA,
  include.na = FALSE,
  labs = TRUE,
  label.col = NA,
  format.label = "2%",
  weight = NA,
  label_col = NA,
  flip = F,
  cat.rev = F
)

Arguments

variable	Variable to be plotted.
group	Grouping variable to cross-tabulate and compute.
sort.cat	Category to sort the stacked chart.
colors	Vector of colors distinguishing groups.
include.na	Logical. Should NAs be a separate level or should they be excluded? FALSE by default.
labs	Logical. Should percents labels be added to the plot. TRUE by default.
label.col	In case labels are added, vector of labels colors.
format.label	Character of one digit standing for decimal places and one symbol added in the end, for example "1%" would result in "99.9%" whereas "2$" would lead to "99.99$".
weight	If there is a survey weight, variable to use in crosstab computation.
label_col	Same as label.col, saved for legacy.

Details

Computes proportions cross-table and plots it in a nice way. ggplot-based, so '+theme()' and other arguments can be added directly to transform the plot.

MaksimRudnev/LittleHelpers documentation built on Nov. 5, 2024, 10:16 p.m.