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