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new kingdom
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4
R/data.R
4
R/data.R
@ -137,8 +137,8 @@
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#' \item{\code{class}}{Taxonomic class of the microorganism as found in ITIS, see Source}
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#' \item{\code{phylum}}{Taxonomic phylum of the microorganism as found in ITIS, see Source}
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#' \item{\code{subkingdom}}{Taxonomic subkingdom of the microorganism as found in ITIS, see Source}
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#' \item{\code{kingdom}}{Taxonomic kingdom of the microorganism as found in ITIS, see Source}
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#' \item{\code{gramstain}}{Gram of microorganism, like \code{"Gram negative"}}
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#' \item{\code{type}}{Type of microorganism, like \code{"Bacteria"} and \code{"Fungi"}}
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#' \item{\code{prevalence}}{An integer based on estimated prevalence of the microorganism in humans. Used internally by \code{\link{as.mo}}, otherwise quite meaningless. It has a value of 25 for manually added items and a value of 1000 for all unprevalent microorganisms whose genus was somewhere in the top 250 (with another species).}
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#' \item{\code{ref}}{Author(s) and year of concerning publication as found in ITIS, see Source}
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#' }
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@ -248,7 +248,7 @@
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# # Renew data:
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# microorganismsDT <- data.table::as.data.table(AMR::microorganisms)
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# # sort on (1) bacteria, (2) fungi, (3) protozoa and then human pathogenic prevalence and then TSN:
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# data.table::setkey(microorganismsDT, type, prevalence, fullname)
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# data.table::setkey(microorganismsDT, kingdom, prevalence, fullname)
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# microorganisms.prevDT <- microorganismsDT[prevalence == 9999,]
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# microorganisms.unprevDT <- microorganismsDT[prevalence != 9999,]
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# microorganisms.oldDT <- data.table::as.data.table(AMR::microorganisms.old)
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