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dr. M.S. (Matthijs) Berends
2022-08-21 16:37:20 +02:00
parent 7226b70c3d
commit 952d16de33
315 changed files with 839 additions and 34495 deletions
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20
man/age_groups.Rd
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@ -33,19 +33,6 @@ The default is to split on young children (0-11), youth (12-24), young adults (2
}
}
}
\section{Stable Lifecycle}{
\if{html}{\figure{lifecycle_stable.svg}{options: style=margin-bottom:"5"} \cr}
The \link[=lifecycle]{lifecycle} of this function is \strong{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, an argument will be deprecated and first continue to work, but will emit a 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.
}
\section{Read more on Our Website!}{
On our website \url{https://msberends.github.io/AMR/} you can find \href{https://msberends.github.io/AMR/articles/AMR.html}{a comprehensive tutorial} about how to conduct AMR data analysis, the \href{https://msberends.github.io/AMR/reference/}{complete documentation of all functions} and \href{https://msberends.github.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
}
\examples{
ages <- c(3, 8, 16, 54, 31, 76, 101, 43, 21)
@ -64,7 +51,7 @@ 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, 17))
age_groups(ages, c(1, 2, 4, 6, 13, 18))
age_groups(ages, "children")
\donttest{
@ -75,7 +62,10 @@ if (require("dplyr")) {
filter(mo == as.mo("E. coli")) \%>\%
group_by(age_group = age_groups(age)) \%>\%
select(age_group, CIP) \%>\%
ggplot_rsi(x = "age_group", minimum = 0)
ggplot_rsi(x = "age_group",
minimum = 0,
x.title = "Age Group",
title = "Ciprofloxacin resistance per age group")
}
}
}