Create new merged age groups

Usage

mergeAgeGroups(
  refdata,
  newGroups,
  event = NULL,
  age = "age_group",
  pop = "pop",
  ageRange = c(0, 150),
  strata = NULL
)

Arguments

refdata: Standard population dataset you want to use.
newGroups: Create a list of new age groups you want to create.
event: Column in refdata with outcome counts.
age: Column in refdata with age values.
pop: Column in refdata with population counts, preferably in person-time.
ageRange: Specify the age range of the population of interest.
strata: Column or columns to stratify by.

Value

Data frame with age groups and population counts.

Examples

# \donttest{


standardPopulation("Europe")|> dplyr::glimpse()
#> Rows: 19
#> Columns: 2
#> $ age_group <chr> "0 to 4", "5 to 9", "10 to 14", "15 to 19", "20 to 24", "25 …
#> $ pop       <int> 5000, 5500, 5500, 5500, 6000, 6000, 6500, 7000, 7000, 7000, …

merged_data <- mergeAgeGroups(standardPopulation("Europe"), c("0-19", "20-64", "65-150"))

merged_data |> dplyr::glimpse()
#> Rows: 3
#> Columns: 2
#> $ age_group <chr> "0-19", "20-64", "65-150"
#> $ pop       <int> 21500, 59000, 19500

# }