Provides tools for obtaining a tidy version of a <summarised_result>
object.
This tidy version will include the settings as columns, estimate_value
will
be pivotted into columns using estimate_name
as names, and group, strata,
and additional will be splitted.
If you want to customise these tidy operations, please use
tidySummarisedResult()
.
Usage
# S3 method for class 'summarised_result'
tidy(x, ...)
Examples
result <- mockSummarisedResult()
result |> tidy()
#> # A tibble: 72 × 13
#> cdm_name cohort_name age_group sex variable_name variable_level count
#> <chr> <chr> <chr> <chr> <chr> <chr> <int>
#> 1 mock cohort1 overall overall number subjects NA 5518207
#> 2 mock cohort1 <40 Male number subjects NA 9262120
#> 3 mock cohort1 >=40 Male number subjects NA 5830144
#> 4 mock cohort1 <40 Female number subjects NA 745444
#> 5 mock cohort1 >=40 Female number subjects NA 1032387
#> 6 mock cohort1 overall Male number subjects NA 9288374
#> 7 mock cohort1 overall Female number subjects NA 2535113
#> 8 mock cohort1 <40 overall number subjects NA 2286501
#> 9 mock cohort1 >=40 overall number subjects NA 3285193
#> 10 mock cohort2 overall overall number subjects NA 3804787
#> # ℹ 62 more rows
#> # ℹ 6 more variables: mean <dbl>, sd <dbl>, percentage <dbl>,
#> # result_type <chr>, package_name <chr>, package_version <chr>