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Replace RSI with SIR

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Dr. Matthijs Berends
2023-01-21 23:47:20 +01:00
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parent 24b12024ce
commit 98e62c9af2
127 changed files with 1746 additions and 1648 deletions
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{clinical_breakpoints}
\alias{clinical_breakpoints}
\title{Data Set with Clinical Breakpoints for SIR Interpretation}
\format{
A \link[tibble:tibble]{tibble} with 18,308 observations and 11 variables:
\itemize{
\item \code{guideline}\cr Name of the guideline
\item \code{method}\cr Either "DISK" or "MIC"
\item \code{site}\cr Body site, e.g. "Oral" or "Respiratory"
\item \code{mo}\cr Microbial ID, see \code{\link[=as.mo]{as.mo()}}
\item \code{rank_index}\cr Taxonomic rank index of \code{mo} from 1 (subspecies/infraspecies) to 5 (unknown microorganism)
\item \code{ab}\cr Antibiotic ID, see \code{\link[=as.ab]{as.ab()}}
\item \code{ref_tbl}\cr Info about where the guideline rule can be found
\item \code{disk_dose}\cr Dose of the used disk diffusion method
\item \code{breakpoint_S}\cr Lowest MIC value or highest number of millimetres that leads to "S"
\item \code{breakpoint_R}\cr Highest MIC value or lowest number of millimetres that leads to "R"
\item \code{uti}\cr A \link{logical} value (\code{TRUE}/\code{FALSE}) to indicate whether the rule applies to a urinary tract infection (UTI)
}
}
\usage{
clinical_breakpoints
}
\description{
Data set containing clinical breakpoints to interpret MIC and disk diffusion to SIR values, according to international guidelines. Currently implemented guidelines are EUCAST (2013-2022) and CLSI (2013-2022). Use \code{\link[=as.sir]{as.sir()}} to transform MICs or disks measurements to SIR values.
}
\details{
Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit \href{https://msberends.github.io/AMR/articles/datasets.html}{our website for the download links}. The actual files are of course available on \href{https://github.com/msberends/AMR/tree/main/data-raw}{our GitHub repository}.
They \strong{allow for machine reading EUCAST and CLSI guidelines}, which is almost impossible with the MS Excel and PDF files distributed by EUCAST and CLSI.
}
\examples{
clinical_breakpoints
}
\seealso{
\link{intrinsic_resistant}
}
\keyword{datasets}