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(v1.5.0.9014) only_rsi_columns, is.rsi.eligible improvement

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dr. M.S. (Matthijs) Berends
2021-02-02 23:57:35 +01:00
parent 20d638c193
commit 2eca8c3f01
246 changed files with 1171 additions and 965 deletions
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6
man/as.rsi.Rd
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@ -74,7 +74,7 @@ is.rsi.eligible(x, threshold = 0.05)
\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()}}.}
}
\value{
Ordered \link{factor} with new class \code{\link{rsi}}
Ordered factor with new class \verb{<rsi>}
}
\description{
Interpret minimum inhibitory concentration (MIC) values and disk diffusion diameters according to EUCAST or CLSI, or clean up existing R/SI values. This transforms the input to a new class \code{\link{rsi}}, which is an ordered factor with levels \verb{S < I < R}. Values that cannot be interpreted will be returned as \code{NA} with a warning.
@ -121,6 +121,8 @@ The repository of this package \href{https://github.com/msberends/AMR/blob/maste
\subsection{Other}{
The function \code{\link[=is.rsi]{is.rsi()}} detects if the input contains class \verb{<rsi>}. If the input is a data.frame, it returns a vector in which all columns are checked for this class.
The function \code{\link[=is.rsi.eligible]{is.rsi.eligible()}} returns \code{TRUE} when a columns contains at most 5\% invalid antimicrobial interpretations (not S and/or I and/or R), and \code{FALSE} otherwise. The threshold of 5\% can be set with the \code{threshold} argument.
}
}
@ -154,7 +156,7 @@ All reference data sets (about microorganisms, antibiotics, R/SI interpretation,
\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}!
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 data 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{