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(v0.7.1.9075) new microorganism codes
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34
man/as.mo.Rd
34
man/as.mo.Rd
@ -34,7 +34,7 @@ clear_mo_history(...)
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This excludes \emph{Enterococci} at default (who are in group D), use \code{Lancefield = "all"} to also categorise all \emph{Enterococci} as group D.}
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\item{allow_uncertain}{a number between 0 (or "none") and 3 (or "all"), or TRUE (= 2) or FALSE (= 0) to indicate whether the input should be checked for less possible results, see Details}
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\item{allow_uncertain}{a number between 0 (or "none") and 3 (or "all"), or TRUE (= 2) or FALSE (= 0) to indicate whether the input should be checked for less probable results, see Details}
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\item{reference_df}{a \code{data.frame} to use for extra reference when translating \code{x} to a valid \code{mo}. See \code{\link{set_mo_source}} and \code{\link{get_mo_source}} to automate the usage of your own codes (e.g. used in your analysis or organisation).}
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@ -50,16 +50,16 @@ Use this function to determine a valid microorganism ID (\code{mo}). Determinati
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\strong{General info} \cr
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A microorganism ID from this package (class: \code{mo}) typically looks like these examples:\cr
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\preformatted{
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Code Full name
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--------------- --------------------------------------
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B_KLBSL Klebsiella
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B_KLBSL_PNE Klebsiella pneumoniae
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B_KLBSL_PNE_RHI Klebsiella pneumoniae rhinoscleromatis
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| | | |
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| | | |
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| | | ----> subspecies, a 3-4 letter acronym
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| | ----> species, a 3-4 letter acronym
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| ----> genus, a 5-7 letter acronym, mostly without vowels
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Code Full name
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--------------- --------------------------------------
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B_KLBSL Klebsiella
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B_KLBSL_PNMN Klebsiella pneumoniae
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B_KLBSL_PNMN_RHNS Klebsiella pneumoniae rhinoscleromatis
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| | | |
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| | | |
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| | | ---> subspecies, a 4-5 letter acronym
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| | ----> species, a 4-5 letter acronym
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| ----> genus, a 5-7 letter acronym
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----> taxonomic kingdom: A (Archaea), AN (Animalia), B (Bacteria),
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C (Chromista), F (Fungi), P (Protozoa)
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}
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@ -105,7 +105,7 @@ You can also use e.g. \code{as.mo(..., allow_uncertain = 1)} to only allow up to
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Examples:
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\itemize{
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\item{\code{"Streptococcus group B (known as S. agalactiae)"}. The text between brackets will be removed and a warning will be thrown that the result \emph{Streptococcus group B} (\code{B_STRPT_GRB}) needs review.}
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\item{\code{"Streptococcus group B (known as S. agalactiae)"}. The text between brackets will be removed and a warning will be thrown that the result \emph{Streptococcus group B} (\code{B_STRPT_GRPB}) needs review.}
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\item{\code{"S. aureus - please mind: MRSA"}. The last word will be stripped, after which the function will try to find a match. If it does not, the second last word will be stripped, etc. Again, a warning will be thrown that the result \emph{Staphylococcus aureus} (\code{B_STPHY_AUR}) needs review.}
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\item{\code{"Fluoroquinolone-resistant Neisseria gonorrhoeae"}. The first word will be stripped, after which the function will try to find a match. A warning will be thrown that the result \emph{Neisseria gonorrhoeae} (\code{B_NESSR_GON}) needs review.}
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}
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@ -154,7 +154,7 @@ On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://
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\examples{
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\donttest{
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# These examples all return "B_STPHY_AUR", the ID of S. aureus:
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# These examples all return "B_STPHY_AURS", the ID of S. aureus:
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as.mo("sau") # WHONET code
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as.mo("stau")
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as.mo("STAU")
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@ -179,11 +179,11 @@ as.mo("Streptococcus group A")
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as.mo("GAS") # Group A Streptococci
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as.mo("GBS") # Group B Streptococci
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as.mo("S. epidermidis") # will remain species: B_STPHY_EPI
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as.mo("S. epidermidis", Becker = TRUE) # will not remain species: B_STPHY_CNS
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as.mo("S. epidermidis") # will remain species: B_STPHY_EPDR
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as.mo("S. epidermidis", Becker = TRUE) # will not remain species: B_STPHY_CONS
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as.mo("S. pyogenes") # will remain species: B_STRPT_PYO
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as.mo("S. pyogenes", Lancefield = TRUE) # will not remain species: B_STRPT_GRA
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as.mo("S. pyogenes") # will remain species: B_STRPT_PYGN
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as.mo("S. pyogenes", Lancefield = TRUE) # will not remain species: B_STRPT_GRPA
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# All mo_* functions use as.mo() internally too (see ?mo_property):
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mo_genus("E. coli") # returns "Escherichia"
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@ -3,7 +3,7 @@
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\docType{data}
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\name{example_isolates}
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\alias{example_isolates}
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\title{Data set with 2,000 blood culture isolates from septic patients}
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\title{Data set with 2,000 blood culture isolates}
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\format{A \code{\link{data.frame}} with 2,000 observations and 49 variables:
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\describe{
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\item{\code{date}}{date of receipt at the laboratory}
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@ -15,13 +15,13 @@
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\item{\code{gender}}{gender of the patient}
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\item{\code{patient_id}}{ID of the patient, first 10 characters of an SHA hash containing irretrievable information}
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\item{\code{mo}}{ID of microorganism created with \code{\link{as.mo}}, see also \code{\link{microorganisms}}}
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\item{\code{peni:rifa}}{40 different antibiotics with class \code{rsi} (see \code{\link{as.rsi}}); these column names occur in \code{\link{antibiotics}} data set and can be translated with \code{\link{ab_name}}}
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\item{\code{PEN:RIF}}{40 different antibiotics with class \code{rsi} (see \code{\link{as.rsi}}); these column names occur in \code{\link{antibiotics}} data set and can be translated with \code{\link{ab_name}}}
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}}
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\usage{
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example_isolates
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}
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\description{
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An anonymised data set containing 2,000 microbial blood culture isolates with their full antibiograms found in septic patients in 4 different hospitals in the Netherlands, between 2001 and 2017. This \code{data.frame} can be used to practice AMR analysis. For examples, please read \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{the tutorial on our website}.
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An anonymised data set containing 2,000 microbial blood culture isolates with their full antibiograms found 4 different hospitals in the Netherlands, between 2001 and 2017. This \code{data.frame} can be used to practice AMR analysis. For examples, please read \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{the tutorial on our website}.
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}
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\section{Read more on our website!}{
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@ -4,7 +4,7 @@
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\name{microorganisms}
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\alias{microorganisms}
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\title{Data set with ~70,000 microorganisms}
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\format{A \code{\link{data.frame}} with 69,855 observations and 16 variables:
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\format{A \code{\link{data.frame}} with 69,460 observations and 16 variables:
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\describe{
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\item{\code{mo}}{ID of microorganism as used by this package}
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\item{\code{col_id}}{Catalogue of Life ID}
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@ -34,7 +34,7 @@ Manually added were:
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\item{2 entries of \emph{Staphylococcus} (coagulase-negative [CoNS] and coagulase-positive [CoPS])}
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\item{3 entries of \emph{Trichomonas} (\emph{Trichomonas vaginalis}, and its family and genus)}
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\item{5 other 'undefined' entries (unknown, unknown Gram negatives, unknown Gram positives, unknown yeast and unknown fungus)}
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\item{8,970 species from the DSMZ (Deutsche Sammlung von Mikroorganismen und Zellkulturen) that are not in the Catalogue of Life}
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\item{22,654 species from the DSMZ (Deutsche Sammlung von Mikroorganismen und Zellkulturen) overwriting records from the Catalogue of Life, since the DSMZ contain the latest taxonomic information based on recent publications}
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}
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}
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\section{About the records from DSMZ (see source)}{
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@ -3,10 +3,10 @@
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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 for microorganism codes}
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\format{A \code{\link{data.frame}} with 4,965 observations and 2 variables:
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\title{Translation table for common microorganism codes}
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\format{A \code{\link{data.frame}} with 4,927 observations and 2 variables:
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\describe{
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\item{\code{certe}}{Commonly used code of a microorganism}
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\item{\code{code}}{Commonly used code of a microorganism}
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\item{\code{mo}}{ID of the microorganism in the \code{\link{microorganisms}} data set}
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}}
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\usage{
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\name{microorganisms.old}
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\alias{microorganisms.old}
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\title{Data set with previously accepted taxonomic names}
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\format{A \code{\link{data.frame}} with 22,932 observations and 4 variables:
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\format{A \code{\link{data.frame}} with 24,246 observations and 4 variables:
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\describe{
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\item{\code{col_id}}{Catalogue of Life ID that was originally given}
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\item{\code{col_id_new}}{New Catalogue of Life ID that responds to an entry in the \code{\link{microorganisms}} data set}
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