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mirror of https://github.com/msberends/AMR.git synced 2025-12-22 07:40:23 +01:00

(v3.0.0.9022) postpone new features - we like a clearly focussed bugfix release first

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2025-09-03 15:39:44 +02:00
parent 0744c6feee
commit 3ba1b8a10a
14 changed files with 105 additions and 198 deletions

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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{esbl_isolates}
\alias{esbl_isolates}
\title{Data Set with 500 ESBL Isolates}
\format{
A \link[tibble:tibble]{tibble} with 500 observations and 19 variables:
\itemize{
\item \code{esbl}\cr Logical indicator if the isolate is ESBL-producing
\item \code{genus}\cr Genus of the microorganism
\item \code{AMC:COL}\cr MIC values for 17 antimicrobial agents, transformed to class \code{\link{mic}} (see \code{\link[=as.mic]{as.mic()}})
}
}
\usage{
esbl_isolates
}
\description{
A data set containing 500 microbial isolates with MIC values of common antibiotics and a binary \code{esbl} column for extended-spectrum beta-lactamase (ESBL) production. This data set contains randomised fictitious data but reflects reality and can be used to practise AMR-related machine learning, e.g., classification modelling with \href{https://amr-for-r.org/articles/AMR_with_tidymodels.html}{tidymodels}.
}
\details{
See our \link[=amr-tidymodels]{tidymodels integration} for an example using this data set.
}
\examples{
esbl_isolates
}
\keyword{datasets}