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AMR/R/mo_property.R

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# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Analysis for R #
# #
# SOURCE #
# https://github.com/msberends/AMR #
# #
# LICENCE #
# (c) 2018-2020 Berends MS, Luz CF et al. #
# Developed at the University of Groningen, the Netherlands, in #
# collaboration with non-profit organisations Certe Medical #
# Diagnostics & Advice, and University Medical Center Groningen. #
# #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# We created this package for both routine data analysis and academic #
# research and it was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
# #
# Visit our website for the full manual and a complete tutorial about #
# how to conduct AMR analysis: https://msberends.github.io/AMR/ #
# ==================================================================== #
#' Get properties of a microorganism
#'
#' Use these functions to return a specific property of a microorganism based on the latest accepted taxonomy. 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*.
#' @inheritSection lifecycle Stable lifecycle
#' @param x any character (vector) that can be coerced to a valid microorganism code with [as.mo()]
#' @param property one of the column names of the [microorganisms] data set or `"shortname"`
#' @param language language of the returned text, defaults to system language (see [get_locale()]) and can be overwritten by setting the option `AMR_locale`, e.g. `options(AMR_locale = "de")`, see [translate]. Also used to translate text like "no growth". Use `language = NULL` or `language = ""` to prevent translation.
#' @param ... other parameters passed on to [as.mo()], such as 'allow_uncertain' and 'ignore_pattern'
#' @param ab any (vector of) text that can be coerced to a valid antibiotic code with [as.ab()]
#' @param open browse the URL using [utils::browseURL()]
#' @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()]. Please refer to this example, knowing that *Escherichia blattae* was renamed to *Shimwellia blattae* in 2010:
#' - `mo_name("Escherichia blattae")` will return `"Shimwellia blattae"` (with a message about the renaming)
#' - `mo_ref("Escherichia blattae")` will return `"Burgess et al., 1973"` (with a message about the renaming)
#' - `mo_ref("Shimwellia blattae")` will return `"Priest et al., 2010"` (without a message)
#'
#' The short name - [mo_shortname()] - almost always returns the first character of the genus and the full species, like `"E. coli"`. Exceptions are abbreviations of staphylococci (like *"CoNS"*, Coagulase-Negative Staphylococci) and beta-haemolytic streptococci (like *"GBS"*, Group B Streptococci). Please bear in mind that e.g. *E. coli* could mean *Escherichia coli* (kingdom of Bacteria) as well as *Entamoeba coli* (kingdom of Protozoa). Returning to the full name will be done using [as.mo()] internally, giving priority to bacteria and human pathogens, i.e. `"E. coli"` will be considered *Escherichia coli*. In other words, `mo_fullname(mo_shortname("Entamoeba coli"))` returns `"Escherichia coli"`.
#'
#' Since the top-level of the taxonomy is sometimes referred to as 'kingdom' and sometimes as 'domain', the functions [mo_kingdom()] and [mo_domain()] return the exact same results.
#'
#' The Gram stain - [mo_gramstain()] - will be determined based on the taxonomic kingdom and phylum. According to Cavalier-Smith (2002, [PMID 11837318](https://pubmed.ncbi.nlm.nih.gov/11837318)), 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`. Functions [mo_is_gram_negative()] and [mo_is_gram_positive()] always return `TRUE` or `FALSE` (except when the input is `NA` or the MO code is `UNKNOWN`), thus always return `FALSE` for species outside the taxonomic kingdom of Bacteria.
#'
#' Intrinsic resistance - [mo_is_intrinsic_resistant()] - will be determined based on the [intrinsic_resistant] data set, which is based on `r format_eucast_version_nr(3.2)`. The [mo_is_intrinsic_resistant()] can be vectorised over parameters `x` (input for microorganisms) and over `ab` (input for antibiotics).
#'
#' All output will be [translate]d where possible.
#'
#' The function [mo_url()] will return the direct URL to the online database entry, which also shows the scientific reference of the concerned species.
#' @inheritSection mo_matching_score Matching score for microorganisms
#' @inheritSection catalogue_of_life Catalogue of Life
#' @inheritSection as.mo Source
#' @rdname mo_property
#' @name mo_property
#' @return
#' - An [integer] in case of [mo_year()]
#' - A [list] in case of [mo_taxonomy()] and [mo_info()]
#' - A named [character] in case of [mo_url()]
#' - A [double] in case of [mo_snomed()]
#' - A [character] in all other cases
#' @export
#' @seealso [microorganisms]
#' @inheritSection AMR Reference data publicly available
#' @inheritSection AMR Read more on our website!
#' @examples
#' # taxonomic tree -----------------------------------------------------------
#' mo_kingdom("E. coli") # "Bacteria"
#' mo_phylum("E. coli") # "Proteobacteria"
#' mo_class("E. coli") # "Gammaproteobacteria"
#' mo_order("E. coli") # "Enterobacterales"
#' mo_family("E. coli") # "Enterobacteriaceae"
#' mo_genus("E. coli") # "Escherichia"
#' mo_species("E. coli") # "coli"
#' mo_subspecies("E. coli") # ""
#'
#' # colloquial properties ----------------------------------------------------
#' mo_name("E. coli") # "Escherichia coli"
#' mo_fullname("E. coli") # "Escherichia coli" - same as mo_name()
#' mo_shortname("E. coli") # "E. coli"
#'
#' # other properties ---------------------------------------------------------
#' mo_gramstain("E. coli") # "Gram-negative"
#' mo_snomed("E. coli") # 112283007, 116395006, ... (SNOMED codes)
#' mo_type("E. coli") # "Bacteria" (equal to kingdom, but may be translated)
#' mo_rank("E. coli") # "species"
#' mo_url("E. coli") # get the direct url to the online database entry
#' mo_synonyms("E. coli") # get previously accepted taxonomic names
#'
#' # scientific reference -----------------------------------------------------
#' mo_ref("E. coli") # "Castellani et al., 1919"
#' mo_authors("E. coli") # "Castellani et al."
#' mo_year("E. coli") # 1919
#'
#' # abbreviations known in the field -----------------------------------------
#' mo_genus("MRSA") # "Staphylococcus"
#' mo_species("MRSA") # "aureus"
#' mo_shortname("VISA") # "S. aureus"
#' mo_gramstain("VISA") # "Gram-positive"
#'
#' mo_genus("EHEC") # "Escherichia"
#' mo_species("EHEC") # "coli"
#'
#' # known subspecies ---------------------------------------------------------
#' mo_name("doylei") # "Campylobacter jejuni doylei"
#' mo_genus("doylei") # "Campylobacter"
#' mo_species("doylei") # "jejuni"
#' mo_subspecies("doylei") # "doylei"
#'
#' mo_fullname("K. pneu rh") # "Klebsiella pneumoniae rhinoscleromatis"
#' mo_shortname("K. pneu rh") # "K. pneumoniae"
#'
#' \donttest{
#' # Becker classification, see ?as.mo ----------------------------------------
#' mo_fullname("S. epi") # "Staphylococcus epidermidis"
#' mo_fullname("S. epi", Becker = TRUE) # "Coagulase-negative Staphylococcus (CoNS)"
#' mo_shortname("S. epi") # "S. epidermidis"
#' mo_shortname("S. epi", Becker = TRUE) # "CoNS"
#'
#' # Lancefield classification, see ?as.mo ------------------------------------
#' mo_fullname("S. pyo") # "Streptococcus pyogenes"
#' mo_fullname("S. pyo", Lancefield = TRUE) # "Streptococcus group A"
#' mo_shortname("S. pyo") # "S. pyogenes"
#' mo_shortname("S. pyo", Lancefield = TRUE) # "GAS" (='Group A Streptococci')
#'
#'
#' # language support --------------------------------------------------------
#' mo_gramstain("E. coli", language = "de") # "Gramnegativ"
#' mo_gramstain("E. coli", language = "nl") # "Gram-negatief"
#' mo_gramstain("E. coli", language = "es") # "Gram negativo"
#'
#' # mo_type is equal to mo_kingdom, but mo_kingdom will remain official
#' mo_kingdom("E. coli") # "Bacteria" on a German system
#' mo_type("E. coli") # "Bakterien" on a German system
#' mo_type("E. coli") # "Bacteria" on an English system
#'
#' mo_fullname("S. pyogenes",
#' Lancefield = TRUE,
#' language = "de") # "Streptococcus Gruppe A"
#' mo_fullname("S. pyogenes",
#' Lancefield = TRUE,
#' language = "nl") # "Streptococcus groep A"
#'
#'
#' # other --------------------------------------------------------------------
#'
#' # gram stains and intrinsic resistance can also be used as a filter in dplyr verbs
#' if (require("dplyr")) {
#' example_isolates %>%
#' filter(mo_is_gram_positive())
#'
#' example_isolates %>%
#' filter(mo_is_intrinsic_resistant(ab = "vanco"))
#' }
#'
#'
#' # get a list with the complete taxonomy (from kingdom to subspecies)
#' mo_taxonomy("E. coli")
#' # get a list with the taxonomy, the authors, Gram-stain and URL to the online database
#' mo_info("E. coli")
#' }
mo_name <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "fullname", language = language, ...), language = language, only_unknown = FALSE)
}
#' @rdname mo_property
#' @export
mo_fullname <- mo_name
#' @rdname mo_property
#' @export
mo_shortname <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x.mo <- as.mo(x, language = language, ...)
metadata <- get_mo_failures_uncertainties_renamed()
replace_empty <- function(x) {
x[x == ""] <- "spp."
x
}
# get first char of genus and complete species in English
genera <- mo_genus(x.mo, language = NULL)
shortnames <- paste0(substr(genera, 1, 1), ". ", replace_empty(mo_species(x.mo, language = NULL)))
# exceptions for where no species is known
shortnames[shortnames %like% ".[.] spp[.]"] <- genera[shortnames %like% ".[.] spp[.]"]
# exceptions for staphylococci
shortnames[shortnames == "S. coagulase-negative"] <- "CoNS"
shortnames[shortnames == "S. coagulase-positive"] <- "CoPS"
# exceptions for streptococci: Group A Streptococcus -> GAS
shortnames[shortnames %like% "S. group [ABCDFGHK]"] <- paste0("G", gsub("S. group ([ABCDFGHK])", "\\1", shortnames[shortnames %like% "S. group [ABCDFGHK]"]), "S")
# unknown species etc.
shortnames[shortnames %like% "unknown"] <- paste0("(", trimws(gsub("[^a-zA-Z -]", "", shortnames[shortnames %like% "unknown"])), ")")
load_mo_failures_uncertainties_renamed(metadata)
translate_AMR(shortnames, language = language, only_unknown = FALSE)
}
#' @rdname mo_property
#' @export
mo_subspecies <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "subspecies", language = language, ...), language = language, only_unknown = TRUE)
}
#' @rdname mo_property
#' @export
mo_species <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "species", language = language, ...), language = language, only_unknown = TRUE)
}
#' @rdname mo_property
#' @export
mo_genus <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "genus", language = language, ...), language = language, only_unknown = TRUE)
}
#' @rdname mo_property
#' @export
mo_family <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "family", language = language, ...), language = language, only_unknown = TRUE)
}
#' @rdname mo_property
#' @export
mo_order <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "order", language = language, ...), language = language, only_unknown = TRUE)
}
#' @rdname mo_property
#' @export
mo_class <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "class", language = language, ...), language = language, only_unknown = TRUE)
}
#' @rdname mo_property
#' @export
mo_phylum <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "phylum", language = language, ...), language = language, only_unknown = TRUE)
}
#' @rdname mo_property
#' @export
mo_kingdom <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "kingdom", language = language, ...), language = language, only_unknown = TRUE)
}
#' @rdname mo_property
#' @export
mo_domain <- mo_kingdom
#' @rdname mo_property
#' @export
mo_type <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = "kingdom", language = language, ...), language = language, only_unknown = FALSE)
}
#' @rdname mo_property
#' @export
mo_gramstain <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x.mo <- as.mo(x, language = language, ...)
metadata <- get_mo_failures_uncertainties_renamed()
x.phylum <- mo_phylum(x.mo)
# DETERMINE GRAM STAIN FOR BACTERIA
# Source: https://itis.gov/servlet/SingleRpt/SingleRpt?search_topic=TSN&search_value=956097
# It says this:
# Kingdom Bacteria (Cavalier-Smith, 2002)
# Subkingdom Posibacteria (Cavalier-Smith, 2002)
# Direct Children:
# Phylum Actinobacteria (Cavalier-Smith, 2002)
# Phylum Chloroflexi (Garrity and Holt, 2002)
# Phylum Firmicutes (corrig. Gibbons and Murray, 1978)
# Phylum Tenericutes (Murray, 1984)
x <- NA_character_
# make all bacteria Gram negative
x[mo_kingdom(x.mo) == "Bacteria"] <- "Gram-negative"
# overwrite these phyla with Gram positive
x[x.phylum %in% c("Actinobacteria",
"Chloroflexi",
"Firmicutes",
"Tenericutes")
| x.mo == "B_GRAMP"] <- "Gram-positive"
load_mo_failures_uncertainties_renamed(metadata)
translate_AMR(x, language = language, only_unknown = FALSE)
}
#' @rdname mo_property
#' @export
mo_is_gram_negative <- function(x, language = get_locale(), ...) {
if (missing(x)) {
# this supports using in dplyr verbs: ... %>% filter(mo_is_gram_negative())
x <- find_mo_col("mo_is_gram_negative")
}
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x.mo <- as.mo(x, language = language, ...)
metadata <- get_mo_failures_uncertainties_renamed()
grams <- mo_gramstain(x.mo, language = NULL)
load_mo_failures_uncertainties_renamed(metadata)
out <- grams == "Gram-negative" & !is.na(grams)
out[x.mo %in% c(NA_character_, "UNKNOWN")] <- NA
out
}
#' @rdname mo_property
#' @export
mo_is_gram_positive <- function(x, language = get_locale(), ...) {
if (missing(x)) {
# this supports using in dplyr verbs: ... %>% filter(mo_is_gram_positive())
x <- find_mo_col("mo_is_gram_positive")
}
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x.mo <- as.mo(x, language = language, ...)
metadata <- get_mo_failures_uncertainties_renamed()
grams <- mo_gramstain(x.mo, language = NULL)
load_mo_failures_uncertainties_renamed(metadata)
out <- grams == "Gram-positive" & !is.na(grams)
out[x.mo %in% c(NA_character_, "UNKNOWN")] <- NA
out
}
#' @rdname mo_property
#' @export
mo_is_intrinsic_resistant <- function(x, ab, language = get_locale(), ...) {
if (missing(x)) {
# this supports using in dplyr verbs: ... %>% filter(mo_is_intrinsic_resistant(ab = "amox"))
x <- find_mo_col("mo_is_intrinsic_resistant")
}
meet_criteria(x, allow_NA = TRUE)
meet_criteria(ab, allow_NA = FALSE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x.mo <- as.mo(x, language = language, ...)
x <- mo_name(x.mo, language = NULL) # has to match intrinsic_resistant$microorganism
ab <- ab_name(ab, language = NULL, # has to match intrinsic_resistant$antibiotic
flag_multiple_results = FALSE,
info = FALSE)
if (length(x) == 1 & length(ab) > 1) {
x <- rep(x, length(ab))
} else if (length(ab) == 1 & length(x) > 1) {
ab <- rep(ab, length(x))
}
if (length(x) != length(ab)) {
stop_("length of 'x' and 'ab' must be equal, or one of them must be of length 1.")
}
intrinsic_to_check <- intrinsic_resistant[which(intrinsic_resistant$microorganism %in% x |
intrinsic_resistant$antibiotic %in% ab), , drop = FALSE]
paste(x, ab) %in% paste(intrinsic_to_check$microorganism, intrinsic_to_check$antibiotic)
}
#' @rdname mo_property
#' @export
mo_snomed <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
mo_validate(x = x, property = "snomed", language = language, ...)
}
#' @rdname mo_property
#' @export
mo_ref <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
mo_validate(x = x, property = "ref", language = language, ...)
}
#' @rdname mo_property
#' @export
mo_authors <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x <- mo_validate(x = x, property = "ref", language = language, ...)
# remove last 4 digits and presumably the comma and space that preceed them
x[!is.na(x)] <- gsub(",? ?[0-9]{4}", "", x[!is.na(x)])
suppressWarnings(x)
}
#' @rdname mo_property
#' @export
mo_year <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x <- mo_validate(x = x, property = "ref", language = language, ...)
# get last 4 digits
x[!is.na(x)] <- gsub(".*([0-9]{4})$", "\\1", x[!is.na(x)])
suppressWarnings(as.integer(x))
}
#' @rdname mo_property
#' @export
mo_rank <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
mo_validate(x = x, property = "rank", language = language, ...)
}
#' @rdname mo_property
#' @export
mo_taxonomy <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x <- as.mo(x, language = language, ...)
metadata <- get_mo_failures_uncertainties_renamed()
result <- list(kingdom = mo_kingdom(x, language = language),
phylum = mo_phylum(x, language = language),
class = mo_class(x, language = language),
order = mo_order(x, language = language),
family = mo_family(x, language = language),
genus = mo_genus(x, language = language),
species = mo_species(x, language = language),
subspecies = mo_subspecies(x, language = language))
load_mo_failures_uncertainties_renamed(metadata)
result
}
#' @rdname mo_property
#' @export
mo_synonyms <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x <- as.mo(x, language = language, ...)
metadata <- get_mo_failures_uncertainties_renamed()
IDs <- mo_name(x = x, language = NULL)
syns <- lapply(IDs, function(newname) {
res <- sort(microorganisms.old[which(microorganisms.old$fullname_new == newname), "fullname"])
if (length(res) == 0) {
NULL
} else {
res
}
})
if (length(syns) > 1) {
names(syns) <- mo_name(x)
result <- syns
} else {
result <- unlist(syns)
}
load_mo_failures_uncertainties_renamed(metadata)
result
}
#' @rdname mo_property
#' @export
mo_info <- function(x, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
x <- as.mo(x, language = language, ...)
metadata <- get_mo_failures_uncertainties_renamed()
info <- lapply(x, function(y)
c(mo_taxonomy(y, language = language),
list(synonyms = mo_synonyms(y),
gramstain = mo_gramstain(y, language = language),
url = unname(mo_url(y, open = FALSE)),
ref = mo_ref(y))))
if (length(info) > 1) {
names(info) <- mo_name(x)
result <- info
} else {
result <- info[[1L]]
}
load_mo_failures_uncertainties_renamed(metadata)
result
}
#' @rdname mo_property
#' @export
mo_url <- function(x, open = FALSE, language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(open, allow_class = "logical", has_length = 1)
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
mo <- as.mo(x = x, language = language, ... = ...)
mo_names <- mo_name(mo)
metadata <- get_mo_failures_uncertainties_renamed()
df <- data.frame(mo, stringsAsFactors = FALSE) %pm>%
pm_left_join(pm_select(microorganisms, mo, source, species_id), by = "mo")
df$url <- ifelse(df$source == "CoL",
paste0(catalogue_of_life$url_CoL, "details/species/id/", df$species_id, "/"),
ifelse(df$source == "DSMZ",
paste0(catalogue_of_life$url_DSMZ, "/advanced_search?adv[taxon-name]=", gsub(" ", "+", mo_names), "/"),
NA_character_))
u <- df$url
names(u) <- mo_names
if (open == TRUE) {
if (length(u) > 1) {
warning_("Only the first URL will be opened, as `browseURL()` only suports one string.")
}
utils::browseURL(u[1L])
}
load_mo_failures_uncertainties_renamed(metadata)
u
}
#' @rdname mo_property
#' @export
mo_property <- function(x, property = "fullname", language = get_locale(), ...) {
meet_criteria(x, allow_NA = TRUE)
meet_criteria(property, allow_class = "character", has_length = 1, is_in = colnames(microorganisms))
meet_criteria(language, has_length = 1, is_in = c(LANGUAGES_SUPPORTED, ""), allow_NULL = TRUE, allow_NA = TRUE)
translate_AMR(mo_validate(x = x, property = property, language = language, ...), language = language, only_unknown = TRUE)
}
mo_validate <- function(x, property, language, ...) {
check_dataset_integrity()
if (tryCatch(all(x[!is.na(x)] %in% MO_lookup$mo) & length(list(...)) == 0, error = function(e) FALSE)) {
# special case for mo_* functions where class is already <mo>
return(MO_lookup[match(x, MO_lookup$mo), property, drop = TRUE])
}
dots <- list(...)
Becker <- dots$Becker
if (is.null(Becker)) {
Becker <- FALSE
}
Lancefield <- dots$Lancefield
if (is.null(Lancefield)) {
Lancefield <- FALSE
}
# try to catch an error when inputting an invalid parameter
# so the 'call.' can be set to FALSE
tryCatch(x[1L] %in% MO_lookup[1, property, drop = TRUE],
error = function(e) stop(e$message, call. = FALSE))
if (is.mo(x)
& !Becker %in% c(TRUE, "all")
& !Lancefield %in% c(TRUE, "all")) {
# this will not reset mo_uncertainties and mo_failures
# because it's already a valid MO
x <- exec_as.mo(x, property = property, initial_search = FALSE, language = language, ...)
} else if (!all(x %in% MO_lookup[, property, drop = TRUE])
| Becker %in% c(TRUE, "all")
| Lancefield %in% c(TRUE, "all")) {
x <- exec_as.mo(x, property = property, language = language, ...)
}
if (property == "mo") {
return(set_clean_class(x, new_class = c("mo", "character")))
} else if (property == "snomed") {
return(as.double(eval(parse(text = x))))
} else {
return(x)
}
}
find_mo_col <- function(fn) {
# this function tries to find an mo column using dplyr:::peek_mask() for mo_is_*() functions,
# which is useful when functions are used within dplyr verbs
peek_mask_dplyr <- import_fn("peek_mask", "dplyr", error_on_fail = FALSE)
if (!is.null(peek_mask_dplyr)) {
df <- NULL
mo <- NULL
try({
df <- as.data.frame(peek_mask_dplyr()$across_cols(), stringsAsFactors = FALSE)
mo <- suppressMessages(search_type_in_df(df, "mo"))
}, silent = TRUE)
if (!is.null(df) && !is.null(mo) && is.data.frame(df)) {
message_("Using column `", font_bold(mo), "` as input for ", fn, "()")
return(df[, mo, drop = TRUE])
} else {
stop_("Argument 'x' is missing and no column with info about microorganisms could be found.", call = -2)
}
} else {
stop_("Argument 'x' is missing.", call = -2)
}
}
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