Calculates a nested decomposition of segregation for M and H

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"
)
#>     between          within stat        est
#> 1:    state                    M 0.09924370
#> 2:    state                    H 0.09767398
#> 3: district           state    M 0.23870880
#> 4: district           state    H 0.23493319
#> 5:   school state, district    M 0.08758648
#> 6:   school state, district    H 0.08620114
# 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")