mirror of https://github.com/msberends/AMR.git
37 lines
2.0 KiB
R
37 lines
2.0 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/data.R
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\docType{data}
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\name{microorganisms.codes}
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\alias{microorganisms.codes}
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\title{Translation table with 5,582 common microorganism codes}
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\format{
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A \code{\link{data.frame}} with 5,582 observations and 2 variables:
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\itemize{
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\item \code{code}\cr Commonly used code of a microorganism
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\item \code{mo}\cr ID of the microorganism in the \link{microorganisms} data set
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}
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}
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\usage{
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microorganisms.codes
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}
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\description{
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A data set containing commonly used codes for microorganisms, from laboratory systems and WHONET. Define your own with \code{\link[=set_mo_source]{set_mo_source()}}. They will all be searched when using \code{\link[=as.mo]{as.mo()}} and consequently all the \code{\link[=mo_property]{mo_*}} functions.
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}
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\section{Catalogue of Life}{
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\if{html}{\figure{logo_col.png}{options: height=40px style=margin-bottom:5px} \cr}
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This package contains the complete taxonomic tree of almost all microorganisms (~70,000 species) from the authoritative and comprehensive Catalogue of Life (\url{http://www.catalogueoflife.org}). The Catalogue of Life is the most comprehensive and authoritative global index of species currently available.
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\link[=catalogue_of_life]{Click here} for more information about the included taxa. Check which version of the Catalogue of Life was included in this package with \code{\link[=catalogue_of_life_version]{catalogue_of_life_version()}}.
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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 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}.
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}
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\seealso{
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\code{\link[=as.mo]{as.mo()}} \link{microorganisms}
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}
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\keyword{datasets}
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