age_groups: Split Ages into Age Groups

In AMR: Antimicrobial Resistance Data Analysis

Split Ages into Age Groups

Description

Split ages into age groups defined by the split argument. This allows for easier demographic (antimicrobial resistance) analysis. The function returns an ordered factor.

Usage

age_groups(x, split_at = c(0, 12, 25, 55, 75), names = NULL,
  na.rm = FALSE)

Arguments

x	Age, e.g. calculated with age().
split_at	Values to split x at - the default is age groups 0-11, 12-24, 25-54, 55-74 and 75+. See Details.
names	Optional names to be given to the various age groups.
na.rm	A logical to indicate whether missing values should be removed.

Details

To split ages, the input for the split_at argument can be:

• A numeric vector. A value of e.g. c(10, 20) will split x on 0-9, 10-19 and 20+. A value of only 50 will split x on 0-49 and 50+. The default is to split on young children (0-11), youth (12-24), young adults (25-54), middle-aged adults (55-74) and elderly (75+).

• A character:

  • "children" or "kids", equivalent of: c(0, 1, 2, 4, 6, 13, 18). This will split on 0, 1, 2-3, 4-5, 6-12, 13-17 and 18+.

  • "elderly" or "seniors", equivalent of: c(65, 75, 85). This will split on 0-64, 65-74, 75-84, 85+.

  • "fives", equivalent of: 1:20 * 5. This will split on 0-4, 5-9, ..., 95-99, 100+.

  • "tens", equivalent of: 1:10 * 10. This will split on 0-9, 10-19, ..., 90-99, 100+.

Value

Ordered factor

See Also

To determine ages, based on one or more reference dates, use the age() function.

Examples

ages <- c(3, 8, 16, 54, 31, 76, 101, 43, 21)

# split into 0-49 and 50+
age_groups(ages, 50)

# split into 0-19, 20-49 and 50+
age_groups(ages, c(20, 50))
age_groups(ages, c(20, 50), names = c("Under 20 years", "20 to 50 years", "Over 50 years"))

# split into groups of ten years
age_groups(ages, 1:10 * 10)
age_groups(ages, split_at = "tens")

# split into groups of five years
age_groups(ages, 1:20 * 5)
age_groups(ages, split_at = "fives")

# split specifically for children
age_groups(ages, c(1, 2, 4, 6, 13, 18))
age_groups(ages, "children")


# resistance of ciprofloxacin per age group
if (require("dplyr") && require("ggplot2")) {
  example_isolates %>%
    filter_first_isolate() %>%
    filter(mo == as.mo("Escherichia coli")) %>%
    group_by(age_group = age_groups(age)) %>%
    select(age_group, CIP) %>%
    ggplot_sir(
      x = "age_group",
      minimum = 0,
      x.title = "Age Group",
      title = "Ciprofloxacin resistance per age group"
    )
}

AMR documentation built on Nov. 5, 2025, 7 p.m.