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445 lines
17 KiB
R
Executable File
445 lines
17 KiB
R
Executable File
# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Analysis #
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# #
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# SOURCE #
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# https://gitlab.com/msberends/AMR #
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# #
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# LICENCE #
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# (c) 2018-2020 Berends MS, Luz CF et al. #
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# #
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# This R package is free software; you can freely use and distribute #
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# it for both personal and commercial purposes under the terms of the #
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# GNU General Public License version 2.0 (GNU GPL-2), as published by #
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# the Free Software Foundation. #
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# #
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# We created this package for both routine data analysis and academic #
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# research and it was publicly released in the hope that it will be #
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# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
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# Visit our website for more info: https://msberends.gitlab.io/AMR. #
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# ==================================================================== #
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#' Property of a microorganism
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#'
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#' Use these functions to return a specific property of a microorganism. All input values will be evaluated internally with [as.mo()], which makes it possible to use microbial abbreviations, codes and names as input. Please see *Examples*.
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#' @param x any (vector of) text that can be coerced to a valid microorganism code with [as.mo()]
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#' @param property one of the column names of the [microorganisms] data set or `"shortname"`
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#' @param language language of the returned text, defaults to system language (see [get_locale()]) and can also be set with `getOption("AMR_locale")`. Use `language = NULL` or `language = ""` to prevent translation.
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#' @param ... other parameters passed on to [as.mo()]
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#' @param open browse the URL using [utils::browseURL()]
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#' @details All functions will return the most recently known taxonomic property according to the Catalogue of Life, except for [mo_ref()], [mo_authors()] and [mo_year()]. This leads to the following results:
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#' - `mo_name("Chlamydia psittaci")` will return `"Chlamydophila psittaci"` (with a warning about the renaming)
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#' - `mo_ref("Chlamydia psittaci")` will return `"Page, 1968"` (with a warning about the renaming)
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#' - `mo_ref("Chlamydophila psittaci")` will return `"Everett et al., 1999"` (without a warning)
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#'
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#' The Gram stain - [mo_gramstain()] - will be determined on the taxonomic kingdom and phylum. According to Cavalier-Smith (2002) who defined subkingdoms Negibacteria and Posibacteria, only these phyla are Posibacteria: Actinobacteria, Chloroflexi, Firmicutes and Tenericutes. These bacteria are considered Gram-positive - all other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value `NA`.
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#'
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#' All output will be [translate]d where possible.
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#'
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#' The function [mo_url()] will return the direct URL to the online database entry, which also shows the scientific reference of the concerned species.
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#' @inheritSection catalogue_of_life Catalogue of Life
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#' @inheritSection as.mo Source
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#' @rdname mo_property
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#' @name mo_property
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#' @return
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#' - An [`integer`] in case of [mo_year()]
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#' - A [`list`] in case of [mo_taxonomy()] and [mo_info()]
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#' - A named [`character`] in case of [mo_url()]
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#' - A [`double`] in case of [mo_snomed()]
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#' - A [`character`] in all other cases
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#' @export
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#' @seealso [microorganisms]
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#' @inheritSection AMR Read more on our website!
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#' @examples
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#' # taxonomic tree -----------------------------------------------------------
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#' mo_kingdom("E. coli") # "Bacteria"
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#' mo_phylum("E. coli") # "Proteobacteria"
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#' mo_class("E. coli") # "Gammaproteobacteria"
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#' mo_order("E. coli") # "Enterobacterales"
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#' mo_family("E. coli") # "Enterobacteriaceae"
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#' mo_genus("E. coli") # "Escherichia"
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#' mo_species("E. coli") # "coli"
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#' mo_subspecies("E. coli") # ""
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#'
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#' # colloquial properties ----------------------------------------------------
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#' mo_name("E. coli") # "Escherichia coli"
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#' mo_fullname("E. coli") # "Escherichia coli" - same as mo_name()
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#' mo_shortname("E. coli") # "E. coli"
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#'
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#' # other properties ---------------------------------------------------------
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#' mo_gramstain("E. coli") # "Gram-negative"
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#' mo_snomed("E. coli") # 112283007, 116395006, ... (SNOMED codes)
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#' mo_type("E. coli") # "Bacteria" (equal to kingdom, but may be translated)
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#' mo_rank("E. coli") # "species"
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#' mo_url("E. coli") # get the direct url to the online database entry
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#' mo_synonyms("E. coli") # get previously accepted taxonomic names
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#'
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#' # scientific reference -----------------------------------------------------
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#' mo_ref("E. coli") # "Castellani et al., 1919"
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#' mo_authors("E. coli") # "Castellani et al."
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#' mo_year("E. coli") # 1919
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#'
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#' # abbreviations known in the field -----------------------------------------
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#' mo_genus("MRSA") # "Staphylococcus"
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#' mo_species("MRSA") # "aureus"
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#' mo_shortname("VISA") # "S. aureus"
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#' mo_gramstain("VISA") # "Gram-positive"
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#'
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#' mo_genus("EHEC") # "Escherichia"
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#' mo_species("EHEC") # "coli"
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#'
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#' # known subspecies ---------------------------------------------------------
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#' mo_name("doylei") # "Campylobacter jejuni doylei"
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#' mo_genus("doylei") # "Campylobacter"
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#' mo_species("doylei") # "jejuni"
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#' mo_subspecies("doylei") # "doylei"
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#'
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#' mo_fullname("K. pneu rh") # "Klebsiella pneumoniae rhinoscleromatis"
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#' mo_shortname("K. pneu rh") # "K. pneumoniae"
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#'
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#' \donttest{
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#' # Becker classification, see ?as.mo ----------------------------------------
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#' mo_fullname("S. epi") # "Staphylococcus epidermidis"
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#' mo_fullname("S. epi", Becker = TRUE) # "Coagulase-negative Staphylococcus (CoNS)"
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#' mo_shortname("S. epi") # "S. epidermidis"
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#' mo_shortname("S. epi", Becker = TRUE) # "CoNS"
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#'
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#' # Lancefield classification, see ?as.mo ------------------------------------
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#' mo_fullname("S. pyo") # "Streptococcus pyogenes"
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#' mo_fullname("S. pyo", Lancefield = TRUE) # "Streptococcus group A"
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#' mo_shortname("S. pyo") # "S. pyogenes"
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#' mo_shortname("S. pyo", Lancefield = TRUE) # "GAS" (='Group A Streptococci')
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#'
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#'
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#' # language support for German, Dutch, Spanish, Portuguese, Italian and French
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#' mo_gramstain("E. coli", language = "de") # "Gramnegativ"
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#' mo_gramstain("E. coli", language = "nl") # "Gram-negatief"
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#' mo_gramstain("E. coli", language = "es") # "Gram negativo"
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#'
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#' # mo_type is equal to mo_kingdom, but mo_kingdom will remain official
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#' mo_kingdom("E. coli") # "Bacteria" on a German system
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#' mo_type("E. coli") # "Bakterien" on a German system
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#' mo_type("E. coli") # "Bacteria" on an English system
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#'
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#' mo_fullname("S. pyogenes",
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#' Lancefield = TRUE,
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#' language = "de") # "Streptococcus Gruppe A"
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#' mo_fullname("S. pyogenes",
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#' Lancefield = TRUE,
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#' language = "nl") # "Streptococcus groep A"
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#'
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#'
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#' # get a list with the complete taxonomy (from kingdom to subspecies)
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#' mo_taxonomy("E. coli")
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#' # get a list with the taxonomy, the authors, Gram-stain and URL to the online database
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#' mo_info("E. coli")
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#' }
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mo_name <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "fullname", ...), language = language, only_unknown = FALSE)
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}
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#' @rdname mo_property
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#' @export
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mo_fullname <- mo_name
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#' @rdname mo_property
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#' @export
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mo_shortname <- function(x, language = get_locale(), ...) {
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x.mo <- as.mo(x, ...)
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metadata <- get_mo_failures_uncertainties_renamed()
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replace_empty <- function(x) {
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x[x == ""] <- "spp."
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x
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}
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# get first char of genus and complete species in English
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shortnames <- paste0(substr(mo_genus(x.mo, language = NULL), 1, 1), ". ", replace_empty(mo_species(x.mo, language = NULL)))
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# exceptions for Staphylococci
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shortnames[shortnames == "S. coagulase-negative"] <- "CoNS"
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shortnames[shortnames == "S. coagulase-positive"] <- "CoPS"
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# exceptions for Streptococci: Streptococcus Group A -> GAS
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shortnames[shortnames %like% "S. group [ABCDFGHK]"] <- paste0("G", gsub("S. group ([ABCDFGHK])", "\\1", shortnames[shortnames %like% "S. group [ABCDFGHK]"]), "S")
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load_mo_failures_uncertainties_renamed(metadata)
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translate_AMR(shortnames, language = language, only_unknown = FALSE)
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}
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#' @rdname mo_property
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#' @export
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mo_subspecies <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "subspecies", ...), language = language, only_unknown = TRUE)
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}
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#' @rdname mo_property
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#' @export
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mo_species <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "species", ...), language = language, only_unknown = TRUE)
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}
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#' @rdname mo_property
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#' @export
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mo_genus <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "genus", ...), language = language, only_unknown = TRUE)
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}
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#' @rdname mo_property
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#' @export
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mo_family <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "family", ...), language = language, only_unknown = TRUE)
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}
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#' @rdname mo_property
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#' @export
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mo_order <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "order", ...), language = language, only_unknown = TRUE)
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}
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#' @rdname mo_property
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#' @export
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mo_class <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "class", ...), language = language, only_unknown = TRUE)
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}
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#' @rdname mo_property
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#' @export
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mo_phylum <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "phylum", ...), language = language, only_unknown = TRUE)
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}
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#' @rdname mo_property
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#' @export
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mo_kingdom <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "kingdom", ...), language = language, only_unknown = TRUE)
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}
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#' @rdname mo_property
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#' @export
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mo_type <- function(x, language = get_locale(), ...) {
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translate_AMR(mo_validate(x = x, property = "kingdom", ...), language = language, only_unknown = FALSE)
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}
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#' @rdname mo_property
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#' @export
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mo_gramstain <- function(x, language = get_locale(), ...) {
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x.mo <- as.mo(x, ...)
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metadata <- get_mo_failures_uncertainties_renamed()
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x.phylum <- mo_phylum(x.mo)
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# DETERMINE GRAM STAIN FOR BACTERIA
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# Source: https://itis.gov/servlet/SingleRpt/SingleRpt?search_topic=TSN&search_value=956097
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# It says this:
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# Kingdom Bacteria (Cavalier-Smith, 2002)
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# Subkingdom Posibacteria (Cavalier-Smith, 2002)
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# Direct Children:
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# Phylum Actinobacteria (Cavalier-Smith, 2002)
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# Phylum Chloroflexi (Garrity and Holt, 2002)
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# Phylum Firmicutes (corrig. Gibbons and Murray, 1978)
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# Phylum Tenericutes (Murray, 1984)
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x <- NA_character_
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# make all bacteria Gram negative
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x[mo_kingdom(x.mo) == "Bacteria"] <- "Gram-negative"
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# overwrite these phyla with Gram positive
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x[x.phylum %in% c("Actinobacteria",
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"Chloroflexi",
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"Firmicutes",
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"Tenericutes")
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| x.mo == "B_GRAMP"] <- "Gram-positive"
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load_mo_failures_uncertainties_renamed(metadata)
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translate_AMR(x, language = language, only_unknown = FALSE)
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}
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#' @rdname mo_property
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#' @export
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mo_snomed <- function(x, ...) {
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mo_validate(x = x, property = "snomed", ...)
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}
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#' @rdname mo_property
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#' @export
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mo_ref <- function(x, ...) {
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mo_validate(x = x, property = "ref", ...)
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}
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#' @rdname mo_property
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#' @export
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mo_authors <- function(x, ...) {
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x <- mo_validate(x = x, property = "ref", ...)
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# remove last 4 digits and presumably the comma and space that preceed them
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x[!is.na(x)] <- gsub(",? ?[0-9]{4}", "", x[!is.na(x)])
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suppressWarnings(x)
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}
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#' @rdname mo_property
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#' @export
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mo_year <- function(x, ...) {
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x <- mo_validate(x = x, property = "ref", ...)
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# get last 4 digits
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x[!is.na(x)] <- gsub(".*([0-9]{4})$", "\\1", x[!is.na(x)])
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suppressWarnings(as.integer(x))
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}
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#' @rdname mo_property
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#' @export
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mo_rank <- function(x, ...) {
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mo_validate(x = x, property = "rank", ...)
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}
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#' @rdname mo_property
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#' @export
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mo_taxonomy <- function(x, language = get_locale(), ...) {
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x <- as.mo(x, ...)
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metadata <- get_mo_failures_uncertainties_renamed()
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result <- base::list(kingdom = mo_kingdom(x, language = language),
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phylum = mo_phylum(x, language = language),
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class = mo_class(x, language = language),
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order = mo_order(x, language = language),
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family = mo_family(x, language = language),
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genus = mo_genus(x, language = language),
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species = mo_species(x, language = language),
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subspecies = mo_subspecies(x, language = language))
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load_mo_failures_uncertainties_renamed(metadata)
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result
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}
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#' @rdname mo_property
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#' @export
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mo_synonyms <- function(x, ...) {
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x <- as.mo(x, ...)
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metadata <- get_mo_failures_uncertainties_renamed()
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IDs <- mo_property(x = x, property = "col_id", language = NULL)
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syns <- lapply(IDs, function(col_id) {
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res <- sort(microorganisms.old[which(microorganisms.old$col_id_new == col_id), "fullname"])
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if (length(res) == 0) {
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NULL
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} else {
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res
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}
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})
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if (length(syns) > 1) {
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names(syns) <- mo_name(x)
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result <- syns
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} else {
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result <- unlist(syns)
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}
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load_mo_failures_uncertainties_renamed(metadata)
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result
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}
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#' @rdname mo_property
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#' @export
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mo_info <- function(x, language = get_locale(), ...) {
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x <- as.mo(x, ...)
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metadata <- get_mo_failures_uncertainties_renamed()
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info <- lapply(x, function(y)
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c(mo_taxonomy(y, language = language),
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list(synonyms = mo_synonyms(y),
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gramstain = mo_gramstain(y, language = language),
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url = unname(mo_url(y, open = FALSE)),
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ref = mo_ref(y))))
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if (length(info) > 1) {
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names(info) <- mo_name(x)
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result <- info
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} else {
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result <- info[[1L]]
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}
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load_mo_failures_uncertainties_renamed(metadata)
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result
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}
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#' @rdname mo_property
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#' @importFrom utils browseURL
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#' @importFrom dplyr %>% left_join select mutate case_when
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#' @export
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mo_url <- function(x, open = FALSE, ...) {
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mo <- as.mo(x = x, ... = ...)
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mo_names <- mo_name(mo)
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metadata <- get_mo_failures_uncertainties_renamed()
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df <- data.frame(mo, stringsAsFactors = FALSE) %>%
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left_join(select(microorganisms, mo, source, species_id), by = "mo") %>%
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mutate(url = case_when(source == "CoL" ~
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paste0(gsub("{year}", catalogue_of_life$year, catalogue_of_life$url_CoL, fixed = TRUE), "details/species/id/", species_id),
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source == "DSMZ" ~
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paste0(catalogue_of_life$url_DSMZ, "/", unlist(lapply(strsplit(mo_names, ""), function(x) x[1]))),
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TRUE ~
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NA_character_))
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u <- df$url
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names(u) <- mo_names
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if (open == TRUE) {
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if (length(u) > 1) {
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warning("only the first URL will be opened, as `browseURL()` only suports one string.")
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}
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browseURL(u[1L])
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}
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load_mo_failures_uncertainties_renamed(metadata)
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u
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}
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#' @rdname mo_property
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#' @importFrom data.table data.table as.data.table setkey
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#' @export
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mo_property <- function(x, property = "fullname", language = get_locale(), ...) {
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if (length(property) != 1L) {
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stop("'property' must be of length 1.")
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}
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if (!property %in% colnames(microorganisms)) {
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stop("invalid property: '", property, "' - use a column name of the `microorganisms` data set")
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}
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translate_AMR(mo_validate(x = x, property = property, ...), language = language, only_unknown = TRUE)
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}
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mo_validate <- function(x, property, ...) {
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check_dataset_integrity()
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dots <- list(...)
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Becker <- dots$Becker
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if (is.null(Becker)) {
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Becker <- FALSE
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}
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Lancefield <- dots$Lancefield
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if (is.null(Lancefield)) {
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Lancefield <- FALSE
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}
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# try to catch an error when inputting an invalid parameter
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# so the 'call.' can be set to FALSE
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tryCatch(x[1L] %in% microorganisms[1, property],
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error = function(e) stop(e$message, call. = FALSE))
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if (is.mo(x)
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& !Becker %in% c(TRUE, "all")
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& !Lancefield %in% c(TRUE, "all")) {
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# this will not reset mo_uncertainties and mo_failures
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# because it's already a valid MO
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x <- exec_as.mo(x, property = property, initial_search = FALSE, ...)
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} else if (!all(x %in% pull(microorganisms, property))
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| Becker %in% c(TRUE, "all")
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| Lancefield %in% c(TRUE, "all")) {
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x <- exec_as.mo(x, property = property, ...)
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}
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if (property == "mo") {
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return(to_class_mo(x))
|
|
} else if (property == "col_id") {
|
|
return(as.integer(x))
|
|
} else if (property == "snomed") {
|
|
return(as.double(eval(parse(text = x))))
|
|
} else {
|
|
return(x)
|
|
}
|
|
}
|