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43 lines
1.5 KiB
R
43 lines
1.5 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/availability.R
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\name{availability}
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\alias{availability}
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\title{Check availability of columns}
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\usage{
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availability(tbl, width = NULL)
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}
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\arguments{
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\item{tbl}{a \code{data.frame} or \code{list}}
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\item{width}{number of characters to present the visual availability, defaults to filling the width of the console}
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}
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\value{
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\code{data.frame} with column names of \code{tbl} as row names
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}
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\description{
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Easy check for availability of columns in a data set. This makes it easy to get an idea of which antimicrobial combination can be used for calculation with e.g. \code{\link{portion_R}}.
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}
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\details{
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The function returns a \code{data.frame} with columns \code{"resistant"} and \code{"visual_resistance"}. The values in that columns are calculated with \code{\link{portion_R}}.
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}
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\section{Read more on our website!}{
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On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a 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}.
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}
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\examples{
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availability(example_isolates)
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library(dplyr)
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example_isolates \%>\% availability()
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example_isolates \%>\%
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select_if(is.rsi) \%>\%
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availability()
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example_isolates \%>\%
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filter(mo == as.mo("E. coli")) \%>\%
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select_if(is.rsi) \%>\%
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availability()
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}
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