weighted_avg_census_sa1: Function to compute weighted average of Census information...

In ropenscilabs/eechidna: Exploring Election and Census Highly Informative Data Nationally for Australia

Function to compute weighted average of Census information using imputed populations as weights

Description

Function to compute weighted average of Census information using imputed populations as weights

Usage

weighted_avg_census_sa1(mapping_df, abs_df)

Arguments

mapping_df	data frame detailing how much Census divisions intersect with each electoral division at the time of the election.
abs_df	data frame holding Census information from Census year

Value

data frame with imputed Census data for electoral boundaries at the time of the Census

Examples

## Not run: 
# Each 2013 electorate boundary's characteristics as at the time of the 2016 Census
mapping_c16_e13 <- allocate_electorate(centroids_ls = centroids_sa1_2016, electorates_sf = sF_13,
census_year = "2016", election_year = "2013")

# Estimate 2016 Census data for the 2013 electorates
imputed_data_2016 <- weighted_avg_census_sa1(mapping_df = mapping_2016, abs_df = abs2016_cd)

## End(Not run)

ropenscilabs/eechidna documentation built on May 4, 2023, 6:51 a.m.