Learn R Programming

eechidna (version 1.4.1)

weighted_avg_census_sa1: 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

Run this code
# 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)
# }

Run the code above in your browser using DataLab