segplot: A visual representation of segregation

In segregation: Entropy-Based Segregation Indices

A visual representation of segregation

Description

Produces a segregation plot.

Usage

segplot(
  data,
  group,
  unit,
  weight,
  order = "segregation",
  reference_distribution = NULL,
  bar_space = 0,
  title = NULL,
  axis_labels = "left"
)

Arguments

data	A data frame.
group	A categorical variable or a vector of variables contained in data. Defines the first dimension over which segregation is computed.
unit	A categorical variable or a vector of variables contained in data. Defines the second dimension over which segregation is computed.
weight	Numeric. (Default NULL)
order	A character, either "segregation", "entropy", "majority", or "majority_fixed". Affects the ordering of the units. The horizontal ordering of the groups can be changed by using a factor variable for group. The difference between "majority" and "majority_fixed" is that the former will reorder the groups in such a way that the majority group actually comes first. If you want to control the ordering yourself, use "majority_fixed" and specify the group variable as a factor variable.
reference_distribution	Specifies the reference distribution, given as a two-column data frame, to be plotted on the right. If order is segregation, then this reference distribution is also used to compute the local segregation scores.
bar_space	Specifies space between single units.
title	Adds a plot title and appends the value of the H index.
axis_labels	One of "left", "right", or "both". Determines where the y axis labels are placed.

Value

Returns a ggplot2 object.

segregation documentation built on Aug. 25, 2023, 1:07 a.m.