P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-07-08 18:01:50 +02:00
Code Releases Activity

doc fix

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2023-02-15 17:16:40 +01:00
parent d4ae174c28
commit ef716f6ee3
6 changed files with 21 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
R/antibiogram.R
View File

@ -102,7 +102,7 @@
#' "Study Group", "Control Group"))
#' ```
#'
#' All types of antibiograms can be generated with the functions as described on this page, and can be plotted (using [ggplot2::autoplot()] or base \R [plot()]/[barplot()]) or printed into R Markdown / Quarto formats for reports. Use functions from specific 'table reporting' packages to transform the output of [antibiogram()] to your needs, e.g. `flextable::as_flextable()` or `gt::gt()`.
#' All types of antibiograms can be generated with the functions as described on this page, and can be plotted (using [ggplot2::autoplot()] or base \R [plot()]/[barplot()]) or printed into R Markdown / Quarto formats for reports using `print()`. Use functions from specific 'table reporting' packages to transform the output of [antibiogram()] to your needs, e.g. `flextable::as_flextable()` or `gt::gt()`.
#'
#' Note that for combination antibiograms, it is important to realise that susceptibility can be calculated in two ways, which can be set with the `only_all_tested` argument (defaults to `FALSE`). See this example for two antibiotics, Drug A and Drug B, about how [antibiogram()] works to calculate the %SI:
#'