calc_dissimilarity: Calculate index of dissimilarity measure of segregation

In nmmarquez/censeg: Calculate Segregation Measures from Census Data

Description

calculates index of dissimilarity on a dataset

Usage

calc_dissimilarity(
  group_df,
  out_groups = "NH White",
  alt_groups = NULL,
  parent_geo = c(),
  ...
)

Arguments

group_df	race specific df with a count for every GEOID
out_groups	character vector indicating the out group of the comparison. The default behavior selects "NH White" such that White-Non White segregation is being evaluated.
alt_groups	character vector indicating the alt groups of the comparison. The default behavior selects NULL such that all groups except the out group are selected.
parent_geo	character vector of additional columns to subdivide analysis
...	added for compatibility

Value

single row data frame with index of dissimilarity

Examples

calc_dissimilarity(get_acs_race("CA", "Orange", year = 2013))

nmmarquez/censeg documentation built on Sept. 12, 2020, 4:13 a.m.