Pivot the estimates as new columns in result table.
Examples
result <- mockSummarisedResult()
result |> pivotEstimates()
#> # A tibble: 72 × 14
#> result_id cdm_name group_name group_level strata_name strata_level
#> <int> <chr> <chr> <chr> <chr> <chr>
#> 1 1 mock cohort_name cohort1 overall overall
#> 2 1 mock cohort_name cohort1 age_group &&& sex <40 &&& Male
#> 3 1 mock cohort_name cohort1 age_group &&& sex >=40 &&& Male
#> 4 1 mock cohort_name cohort1 age_group &&& sex <40 &&& Female
#> 5 1 mock cohort_name cohort1 age_group &&& sex >=40 &&& Female
#> 6 1 mock cohort_name cohort1 sex Male
#> 7 1 mock cohort_name cohort1 sex Female
#> 8 1 mock cohort_name cohort1 age_group <40
#> 9 1 mock cohort_name cohort1 age_group >=40
#> 10 1 mock cohort_name cohort2 overall overall
#> # ℹ 62 more rows
#> # ℹ 8 more variables: variable_name <chr>, variable_level <chr>,
#> # additional_name <chr>, additional_level <chr>, count <int>, mean <dbl>,
#> # sd <dbl>, percentage <dbl>