Calculates age in years based on a reference date, which is the sytem date at default.
age(x, reference = Sys.Date(), exact = FALSE, na.rm = FALSE, ...)
Arguments
| x | date(s), character (vectors) will be coerced with |
|---|---|
| reference | reference date(s) (defaults to today), character (vectors) will be coerced with |
| 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 |
| na.rm | a logical to indicate whether missing values should be removed |
| ... | arguments passed on to |
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.
Stable Lifecycle
The lifecycle of this function is stable. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.
If the unlying code needs breaking changes, they will occur gradually. For example, a argument will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.
Read more on Our Website!
On our website https://msberends.github.io/AMR/ you can find a comprehensive tutorial about how to conduct AMR data analysis, the complete documentation of all functions and an example analysis using WHONET data.
See also
To split ages into groups, use the age_groups() function.
Examples
# 10 random birth dates df <- data.frame(birth_date = Sys.Date() - runif(10) * 25000) # add ages df$age <- age(df$birth_date) # add exact ages df$age_exact <- age(df$birth_date, exact = TRUE) df