Convert an Integer Age to an Age Group

Maps an individual age to a categorical age-group label.

Usage

age_to_age_group(age, age_groups)

Arguments

age

Numeric age to be converted.

age_groups

Character vector containing age-group definitions.

Age groups should:

• Cover the expected age range.

• Not overlap.

• Contain at most one open-ended category.

Value

A character string containing the matching age-group label.

Returns NA if no matching age group can be found.

Details

Age groups are specified using either:

• Closed-open intervals of the form "lower-upper".

• Open-ended intervals of the form "lower+".

Examples:

"0-15"
"15-25"
"25-45"
"45-65"
"65+"

This function is useful when converting continuous age information into the categorical age-group formats commonly used in contingency tables and marginal distributions.

Age groups are interpreted as:

"a-b"

Ages greater than or equal to a and strictly less than b.

"a+"

Ages greater than or equal to a.

For example:

age_to_age_group(
  20,
  c(
    "0-15",
    "15-25",
    "25-45"
  )
)

returns:

"15-25"

See also

synthetic_population_to_contingency, multicolumn_to_attribute_values

Examples

age_to_age_group(
  age = 12,
  age_groups = c(
    "0-15",
    "15-25",
    "25-45"
  )
)
#> [1] "0-15"

age_to_age_group(
  age = 20,
  age_groups = c(
    "0-15",
    "15-25",
    "25-45"
  )
)
#> [1] "15-25"

age_to_age_group(
  age = 70,
  age_groups = c(
    "0-15",
    "15-25",
    "25-45",
    "45-65",
    "65+"
  )
)
#> [1] "65+"