mutual_total_nested: Calculates a nested decomposition of segregation for M and H

In elbersb/mutual: Entropy-Based Segregation Indices

Calculates a nested decomposition of segregation for M and H

Description

Returns the between-within decomposition defined by the sequence of variables in unit.

Usage

mutual_total_nested(data, group, unit, weight = NULL, base = exp(1))

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 vector of variables contained in data. Defines the levels at which the decomposition should be computed.
weight	Numeric. (Default NULL)
base	Base of the logarithm that is used in the calculation. Defaults to the natural logarithm.

Value

Returns a data.table similar to mutual_total, but with column between and within that define the levels of nesting.

Examples

mutual_total_nested(schools00, "race", c("state", "district", "school"),
    weight = "n"
)
# This is a simpler way to run the following manually:
# mutual_total(schools00, "race", "state", weight = "n")
# mutual_total(schools00, "race", "district", within = "state", weight = "n")
# mutual_total(schools00, "race", "school", within = c("state", "district"), weight = "n")

elbersb/mutual documentation built on Feb. 12, 2024, 6:40 a.m.