% Generated by roxygen2: do not edit by hand % Please edit documentation in R/data.R \docType{data} \name{rsi_translation} \alias{rsi_translation} \title{Data set for R/SI interpretation} \format{ A \code{\link{data.frame}} with 18,964 observations and 10 variables: \itemize{ \item \code{guideline}\cr Name of the guideline \item \code{method}\cr Either "MIC" or "DISK" \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{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 logical value (\code{TRUE}/\code{FALSE}) to indicate whether the rule applies to a urinary tract infection (UTI) } } \usage{ rsi_translation } \description{ Data set to interpret MIC and disk diffusion to R/SI values. Included guidelines are CLSI (2011-2019) and EUCAST (2011-2020). Use \code{\link[=as.rsi]{as.rsi()}} to transform MICs or disks measurements to R/SI values. } \details{ The repository of this \code{AMR} package contains a file comprising this exact data set: \url{https://gitlab.com/msberends/AMR/blob/master/data-raw/rsi_translation.txt}. This file \strong{allows for machine reading EUCAST and CLSI guidelines}, which is almost impossible with the Excel and PDF files distributed by EUCAST and CLSI. This file is updated automatically. } \section{Read more on our website!}{ On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a comprehensive tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}. } \keyword{datasets}