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reference/age.md
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# Age in Years of Individuals
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Calculates age in years based on a reference date, which is the system
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date at default.
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## Usage
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``` r
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age(x, reference = Sys.Date(), exact = FALSE, na.rm = FALSE, ...)
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```
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## Arguments
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- x:
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Date(s), [character](https://rdrr.io/r/base/character.html) (vectors)
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will be coerced with
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[`as.POSIXlt()`](https://rdrr.io/r/base/as.POSIXlt.html).
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- reference:
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Reference date(s) (default is today),
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[character](https://rdrr.io/r/base/character.html) (vectors) will be
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coerced with [`as.POSIXlt()`](https://rdrr.io/r/base/as.POSIXlt.html).
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- exact:
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A [logical](https://rdrr.io/r/base/logical.html) to indicate whether
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age calculation should be exact, i.e. with decimals. It divides the
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number of days of
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[year-to-date](https://en.wikipedia.org/wiki/Year-to-date) (YTD) of
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`x` by the number of days in the year of `reference` (either 365 or
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366).
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- na.rm:
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A [logical](https://rdrr.io/r/base/logical.html) to indicate whether
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missing values should be removed.
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- ...:
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Arguments passed on to
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[`as.POSIXlt()`](https://rdrr.io/r/base/as.POSIXlt.html), such as
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`origin`.
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## Value
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An [integer](https://rdrr.io/r/base/integer.html) (no decimals) if
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`exact = FALSE`, a [double](https://rdrr.io/r/base/double.html) (with
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decimals) otherwise
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## Details
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Ages below 0 will be returned as `NA` with a warning. Ages above 120
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will only give a warning.
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This function vectorises over both `x` and `reference`, meaning that
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either can have a length of 1 while the other argument has a larger
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length.
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## See also
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To split ages into groups, use the
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[`age_groups()`](https://amr-for-r.org/reference/age_groups.md)
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function.
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## Examples
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``` r
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# 10 random pre-Y2K birth dates
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df <- data.frame(birth_date = as.Date("2000-01-01") - runif(10) * 25000)
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# add ages
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df$age <- age(df$birth_date)
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# add exact ages
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df$age_exact <- age(df$birth_date, exact = TRUE)
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# add age at millenium switch
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df$age_at_y2k <- age(df$birth_date, "2000-01-01")
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df
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#> birth_date age age_exact age_at_y2k
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#> 1 1980-02-27 45 45.73973 19
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#> 2 1953-07-26 72 72.33151 46
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#> 3 1949-09-02 76 76.22740 50
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#> 4 1986-08-03 39 39.30959 13
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#> 5 1932-11-19 93 93.01370 67
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#> 6 1949-03-30 76 76.65479 50
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#> 7 1996-06-23 29 29.42192 3
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#> 8 1963-09-16 62 62.18904 36
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#> 9 1952-05-16 73 73.52603 47
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#> 10 1952-11-14 73 73.02740 47
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```
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