Split strata_name and strata_level columns

Pivots the input dataframe so the values of the column strata_name are transformed into columns that contain values from the strata_level column.

Usage

splitStrata(result, keep = FALSE, fill = "overall")

Arguments

result

A dataframe with at least the columns strata_name and strata_level.

keep

Whether to keep the original group_name and group_level columns.

fill

Optionally, a character that specifies what value should be filled in with when missing.

Value

A dataframe.

Examples

mockSummarisedResult() |>
  splitStrata()
#> # A tibble: 126 × 13
#>    result_id cdm_name group_name  group_level age_group sex     variable_name  
#>        <int> <chr>    <chr>       <chr>       <chr>     <chr>   <chr>          
#>  1         1 mock     cohort_name cohort1     overall   overall number subjects
#>  2         1 mock     cohort_name cohort1     <40       Male    number subjects
#>  3         1 mock     cohort_name cohort1     >=40      Male    number subjects
#>  4         1 mock     cohort_name cohort1     <40       Female  number subjects
#>  5         1 mock     cohort_name cohort1     >=40      Female  number subjects
#>  6         1 mock     cohort_name cohort1     overall   Male    number subjects
#>  7         1 mock     cohort_name cohort1     overall   Female  number subjects
#>  8         1 mock     cohort_name cohort1     <40       overall number subjects
#>  9         1 mock     cohort_name cohort1     >=40      overall number subjects
#> 10         1 mock     cohort_name cohort2     overall   overall number subjects
#> # ℹ 116 more rows
#> # ℹ 6 more variables: variable_level <chr>, estimate_name <chr>,
#> #   estimate_type <chr>, estimate_value <chr>, additional_name <chr>,
#> #   additional_level <chr>