Add labels to the result table

Usage

add_label_columns_to_results_table(results_table, dictionary)

Arguments

results_table: Result object with an analysis key.
dictionary: Dictionary created with create_label_dictionary

Value

results table with label columns

Examples

add_label_columns_to_results_table(
  results_table = presentresults_MSNA2024_results_table,
  dictionary = presentresults_MSNA2024_dictionary
)
#> Joining with `by = join_by(analysis_type)`
#> Joining with `by = join_by(analysis_key)`
#> # A tibble: 5,145 × 22
#>    analysis_type analysis_var analysis_var_value group_var group_var_value  stat
#>    <chr>         <chr>        <chr>              <chr>     <chr>           <dbl>
#>  1 prop_select_… snfi_fds_ca… 1                  admin1    PCODE1          0.286
#>  2 prop_select_… snfi_fds_ca… 2                  admin1    PCODE1          0.143
#>  3 prop_select_… snfi_fds_ca… 3                  admin1    PCODE1          0.429
#>  4 prop_select_… snfi_fds_ca… 4                  admin1    PCODE1          0.143
#>  5 prop_select_… snfi_fds_ca… 1                  admin1    PCODE2          0.267
#>  6 prop_select_… snfi_fds_ca… 2                  admin1    PCODE2          0.267
#>  7 prop_select_… snfi_fds_ca… 3                  admin1    PCODE2          0.333
#>  8 prop_select_… snfi_fds_ca… 4                  admin1    PCODE2          0.133
#>  9 prop_select_… snfi_fds_ca… 1                  resp_gen… female          0.25 
#> 10 prop_select_… snfi_fds_ca… 3                  resp_gen… female          0.25 
#> # ℹ 5,135 more rows
#> # ℹ 16 more variables: stat_low <dbl>, stat_upp <dbl>, n <dbl>, n_total <dbl>,
#> #   n_w <dbl>, n_w_total <dbl>, analysis_key <chr>, theme <chr>, module <chr>,
#> #   indicator <chr>, label_analysis_var <chr>, label_analysis_var_value <chr>,
#> #   label_group_var <chr>, label_group_var_value <chr>,
#> #   label_analysis_type <chr>, label_analysis_key <chr>