% Generated by roxygen2: do not edit by hand % Please edit documentation in R/isolate_identifier.R \name{isolate_identifier} \alias{isolate_identifier} \alias{all.equal.isolate_identifier} \title{Create Identifier of an Isolate} \usage{ isolate_identifier(x, col_mo = NULL, cols_ab = NULL) \method{all.equal}{isolate_identifier}(target, current, ignore_empty_results = TRUE, ...) } \arguments{ \item{x}{data with antibiotic columns, such as \code{amox}, \code{AMX} and \code{AMC}} \item{col_mo}{column name of the IDs of the microorganisms (see \code{\link[=as.mo]{as.mo()}}), defaults to the first column of class \code{\link{mo}}. Values will be coerced using \code{\link[=as.mo]{as.mo()}}.} \item{cols_ab}{a character vector of column names of \code{x}, or (a combination with) an \href{[ab_class()]}{antibiotic selector function}, such as \code{\link[=carbapenems]{carbapenems()}} and \code{\link[=aminoglycosides]{aminoglycosides()}}} \item{...}{column name of an antibiotic, see section \emph{Antibiotics} below} } \description{ This function will paste the microorganism code with all antimicrobial results into one string for each row in a data set. This is useful to compare isolates, e.g. between institutions or regions, when there is no genotyping available. } \section{Experimental Lifecycle}{ \if{html}{\figure{lifecycle_experimental.svg}{options: style=margin-bottom:5px} \cr} The \link[=lifecycle]{lifecycle} of this function is \strong{experimental}. An experimental function is in early stages of development. The unlying code might be changing frequently. Experimental functions might be removed without deprecation, so you are generally best off waiting until a function is more mature before you use it in production code. Experimental functions are only available in development versions of this \code{AMR} package and will thus not be included in releases that are submitted to CRAN, since such functions have not yet matured enough. } \section{Read more on Our Website!}{ On our website \url{https://msberends.github.io/AMR/} you can find \href{https://msberends.github.io/AMR/articles/AMR.html}{a comprehensive tutorial} about how to conduct AMR analysis, the \href{https://msberends.github.io/AMR/reference/}{complete documentation of all functions} and \href{https://msberends.github.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}. As we would like to better understand the backgrounds and needs of our users, please \href{https://msberends.github.io/AMR/survey.html}{participate in our survey}! } \examples{ # automatic selection of microorganism and antibiotics (i.e., all columns, see ?as.rsi) x <- isolate_identifier(example_isolates) # ignore microorganism codes, only use antimicrobial results x <- isolate_identifier(example_isolates, col_mo = FALSE, cols_ab = c("AMX", "TZP", "GEN", "TOB")) # select antibiotics from certain antibiotic classes x <- isolate_identifier(example_isolates, cols_ab = c(carbapenems(), aminoglycosides())) }