Formats a post-strat table from ACS and district-level data

Formats a post-strat table from ACS and district-level data

get_poststrat(cleaned_acs, dist_data = NULL, formula)

Arguments

cleaned_acs

An output of get_acs_cces. The count of people in each cell must be under the variable count

dist_data

District-level (in this case congressional district-level) information to merge in

formula

the model formula used to fit the multilevel regression model, with one term on the LHS: e.g. y ~ x1 + x2 + (1|x3). Only the RHS will be used but the LHS is necessary for now.

See also

get_acs_cces

Examples

if (FALSE) {
 fm_brm <- response ~  age + gender + educ + pct_trump + (1|cd)
 acs_tab <- get_acs_cces(
              varlist = acscodes_age_sex_educ,
              varlab_df = acscodes_df,
             year = 2018)

poststrat <-  get_poststrat(acs_tab, cd_info_2018, fm_brm)
head(poststrat)
#   age            gender educ       pct_trump cd    count
#   <fct>          <fct>  <fct>          <dbl> <chr> <dbl>
# 1 18 to 24 years Male   HS or Less     0.049 NY-15 24216
# 2 18 to 24 years Male   HS or Less     0.054 NY-13 18014
# 3 18 to 24 years Male   HS or Less     0.068 CA-13 14153
# 4 18 to 24 years Male   HS or Less     0.07  PA-03 15750
# 5 18 to 24 years Male   HS or Less     0.087 CA-12  6270
# 6 18 to 24 years Male   HS or Less     0.092 IL-07 18734
}