mirror of https://github.com/msberends/AMR.git
77 lines
2.9 KiB
R
77 lines
2.9 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/age.R
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\name{age_groups}
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\alias{age_groups}
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\title{Split ages into age groups}
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\usage{
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age_groups(x, split_at = c(12, 25, 55, 75), na.rm = FALSE)
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}
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\arguments{
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\item{x}{age, e.g. calculated with \code{\link{age}}}
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\item{split_at}{values to split \code{x} at, defaults to age groups 0-11, 12-24, 25-54, 55-74 and 75+. See Details.}
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\item{na.rm}{a logical to indicate whether missing values should be removed}
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}
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\value{
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Ordered \code{\link{factor}}
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}
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\description{
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Split ages into age groups defined by the \code{split} parameter. This allows for easier demographic (antimicrobial resistance) analysis.
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}
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\details{
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To split ages, the input can be:
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\itemize{
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\item{A numeric vector. A vector of e.g. \code{c(10, 20)} will split on 0-9, 10-19 and 20+. A value of only \code{50} will split on 0-49 and 50+.
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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+).}
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\item{A character:}
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\itemize{
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\item{\code{"children"} or \code{"kids"}, equivalent of: \code{c(0, 1, 2, 4, 6, 13, 18)}. This will split on 0, 1, 2-3, 4-5, 6-12, 13-17 and 18+.}
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\item{\code{"elderly"} or \code{"seniors"}, equivalent of: \code{c(65, 75, 85)}. This will split on 0-64, 65-74, 75-84, 85+.}
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\item{\code{"fives"}, equivalent of: \code{1:20 * 5}. This will split on 0-4, 5-9, 10-14, ..., 90-94, 95-99, 100+.}
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\item{\code{"tens"}, equivalent of: \code{1:10 * 10}. This will split on 0-9, 10-19, 20-29, ... 80-89, 90-99, 100+.}
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}
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}
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}
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\section{Read more on our website!}{
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On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
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}
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\examples{
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ages <- c(3, 8, 16, 54, 31, 76, 101, 43, 21)
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# split into 0-49 and 50+
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age_groups(ages, 50)
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# split into 0-19, 20-49 and 50+
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age_groups(ages, c(20, 50))
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# split into groups of ten years
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age_groups(ages, 1:10 * 10)
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age_groups(ages, split_at = "tens")
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# split into groups of five years
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age_groups(ages, 1:20 * 5)
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age_groups(ages, split_at = "fives")
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# split specifically for children
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age_groups(ages, "children")
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# same:
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age_groups(ages, c(1, 2, 4, 6, 13, 17))
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# resistance of ciprofloxacine per age group
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library(dplyr)
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example_isolates \%>\%
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filter_first_isolate() \%>\%
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filter(mo == as.mo("E. coli")) \%>\%
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group_by(age_group = age_groups(age)) \%>\%
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select(age_group, CIP) \%>\%
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ggplot_rsi(x = "age_group")
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}
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\seealso{
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To determine ages, based on one or more reference dates, use the \code{\link{age}} function.
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}
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\keyword{age}
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\keyword{age_group}
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