Skip to contents

[Experimental] 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.

Usage

# S3 method for class 'summarised_result'
tidy(x, ...)

Arguments

x

A <summarised_result>.

...

For compatibility (not used).

Value

A tibble.

Examples

{
  library(dplyr)
  library(omopgenerics)

  x <- tibble(
    "result_id" = as.integer(c(1, 2)),
    "cdm_name" = c("cprd", "eunomia"),
    "group_name" = "cohort_name",
    "group_level" = "my_cohort",
    "strata_name" = "sex",
    "strata_level" = "male",
    "variable_name" = "Age group",
    "variable_level" = "10 to 50",
    "estimate_name" = "count",
    "estimate_type" = "numeric",
    "estimate_value" = "5",
    "additional_name" = "overall",
    "additional_level" = "overall"
  ) |>
    newSummarisedResult(settings = tibble(
      "result_id" = c(1, 2), "custom" = c("A", "B")
    ))

  x

  x |> tidy()
}
#> `result_type`, `package_name`, and `package_version` added to settings.
#> # A tibble: 2 × 7
#>   cdm_name cohort_name sex   variable_name variable_level count custom
#>   <chr>    <chr>       <chr> <chr>         <chr>          <dbl> <chr> 
#> 1 cprd     my_cohort   male  Age group     10 to 50           5 A     
#> 2 eunomia  my_cohort   male  Age group     10 to 50           5 B