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(v2.1.1.9141) new AMR selectors, eucast overwrite arg

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dr. M.S. (Matthijs) Berends
2025-02-07 18:01:22 +01:00
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42 changed files with 282 additions and 197 deletions
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R/first_isolate.R
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@ -51,8 +51,8 @@
#' @param include_untested_sir a [logical] to indicate whether also rows without antibiotic results are still eligible for becoming a first isolate. Use `include_untested_sir = FALSE` to always return `FALSE` for such rows. This checks the data set for columns of class `sir` and consequently requires transforming columns with antibiotic results using [as.sir()] first.
#' @param ... arguments passed on to [first_isolate()] when using [filter_first_isolate()], otherwise arguments passed on to [key_antimicrobials()] (such as `universal`, `gram_negative`, `gram_positive`)
#' @details
#' The methodology implemented in these functions is based on the research overview by Hindler *et al.* (2007, \doi{10.1086/511864}) and the recommendations outlined in the [CLSI Guideline M39](https://clsi.org/standards/products/microbiology/documents/m39).
#' The methodology implemented in these functions is strictly based on the recommendations outlined in [CLSI Guideline M39](https://clsi.org/standards/products/microbiology/documents/m39) and the research overview by Hindler *et al.* (2007, \doi{10.1086/511864}).
#'
#' To conduct epidemiological analyses on antimicrobial resistance data, only so-called first isolates should be included to prevent overestimation and underestimation of antimicrobial resistance. Different methods can be used to do so, see below.
#'
#' These functions are context-aware. This means that the `x` argument can be left blank if used inside a [data.frame] call, see *Examples*.
@ -126,7 +126,7 @@
#' @seealso [key_antimicrobials()]
#' @export
#' @return A [logical] vector
#' @source Methodology of this function is strictly based on:
#' @source Methodology of these functions is strictly based on:
#'
#' - **M39 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 5th Edition**, 2022, *Clinical and Laboratory Standards Institute (CLSI)*. <https://clsi.org/standards/products/microbiology/documents/m39/>.
#'