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Package: AMR
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Version: 1.8.2.9093
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Date: 2023-01-14
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Version: 1.8.2.9094
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Date: 2023-01-19
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Title: Antimicrobial Resistance Data Analysis
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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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data analysis and to work with microbial and antimicrobial properties by
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2
NEWS.md
2
NEWS.md
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# AMR 1.8.2.9093
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# AMR 1.8.2.9094
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*(this beta version will eventually become v2.0! We're happy to reach a new major milestone soon!)*
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@ -37,11 +37,11 @@
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#'
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#' There are two ways to automate this process:
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#'
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#' **Method 1:** Save the microorganisms to a local or remote file (can even be the internet). To use this method:
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#' **Method 1:** Using the [option `AMR_custom_mo`][AMR-options], which is the preferred method. To use this method:
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#'
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#' 1. Create a data set in the structure of the [microorganisms] data set (containing at the very least column "genus") and save it with [saveRDS()] to a location of choice, e.g. `"~/my_custom_mo.rds"`, or any remote location.
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#'
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#' 2. Set the file location to the `AMR_custom_mo` \R option: `options(AMR_custom_mo = "~/my_custom_mo.rds")`. This can even be a remote file location, such as an https URL. Since options are not saved between \R sessions, it is best to save this option to the `.Rprofile` file so that it will loaded on start-up of \R. To do this, open the `.Rprofile` file using e.g. `utils::file.edit("~/.Rprofile")`, add this text and save the file:
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#' 2. Set the file location to the `AMR_custom_mo` \R option: `options(AMR_custom_mo = "~/my_custom_mo.rds")`. This can even be a remote file location, such as an https URL. Since options are not saved between \R sessions, it is best to save this option to the `.Rprofile` file so that it will be loaded on start-up of \R. To do this, open the `.Rprofile` file using e.g. `utils::file.edit("~/.Rprofile")`, add this text and save the file:
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#'
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#' ```r
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#' # Add custom microorganism codes:
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#'
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#' Upon package load, this file will be loaded and run through the [add_custom_microorganisms()] function.
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#'
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#' **Method 2:** Save the microorganism directly to your `.Rprofile` file. An important downside is that this requires to load the `AMR` package at every start-up. To use this method:
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#' **Method 2:** Loading the microorganism directly from your `.Rprofile` file. An important downside is that this requires the `AMR` package to be installed or else this method will fail. To use this method:
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#'
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#' 1. Edit the `.Rprofile` file using e.g. `utils::file.edit("~/.Rprofile")`.
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#'
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#'
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#' ```r
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#' # Add custom antibiotic drug codes:
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#' library(AMR)
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#' add_custom_microorganisms(
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#' AMR::add_custom_microorganisms(
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#' data.frame(genus = "Enterobacter",
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#' species = "asburiae/cloacae")
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#' )
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#' @export
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#' @examples
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#' \donttest{
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#'
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#' # a combination of species is not formal taxonomy, so
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#' # this will result in only "Enterobacter asburiae":
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#' mo_name("Enterobacter asburiae/cloacae")
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#'
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#' # the function tries to be forgiving:
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#' add_custom_microorganisms(
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#' data.frame(GENUS = "ESCHERICHIA / KLEBSIELLA SLASHLINE",
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#' data.frame(GENUS = "BACTEROIDES / PARABACTEROIDES SLASHLINE",
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#' SPECIES = "SPECIES")
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#' )
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#' mo_name("ESCHERICHIA / KLEBSIELLA")
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#' mo_rank("ESCHERICHIA / KLEBSIELLA")
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#' mo_name("BACTEROIDES / PARABACTEROIDES")
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#' mo_rank("BACTEROIDES / PARABACTEROIDES")
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#'
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#' # taxonomy still works, although a slashline genus was given as input:
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#' mo_family("Escherichia/Klebsiella")
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#' mo_family("Bacteroides/Parabacteroides")
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#'
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#'
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#' # for groups and complexes, set them as species or subspecies:
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#' add_custom_microorganisms(
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x$family[which(x$family == "" & genus_to_check != "")] <- AMR_env$MO_lookup$family[match(genus_to_check[which(x$family == "" & genus_to_check != "")], AMR_env$MO_lookup$genus)]
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# fill in other columns that are used in internal algorithms
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x$prevalence <- NA_real_
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x$prevalence[which(genus_to_check != "")] <- AMR_env$MO_lookup$prevalence[match(genus_to_check[which(genus_to_check != "")], AMR_env$MO_lookup$genus)]
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x$prevalence[is.na(x$prevalence)] <- 1.25
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x$status <- "accepted"
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x$prevalence <- 1
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x$ref <- paste("Self-added,", format(Sys.Date(), "%Y"))
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x$kingdom_index <- AMR_env$MO_lookup$kingdom_index[match(genus_to_check, AMR_env$MO_lookup$genus)]
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# complete missing kingdom index, so mo_matching_score() will not return NA
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@ -777,7 +777,7 @@ mo_info <- function(x, language = get_AMR_locale(), keep_synonyms = getOption("A
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info <- lapply(x, function(y) {
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c(
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list(identifier = x),
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list(mo = as.character(x)),
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mo_taxonomy(y, language = language, keep_synonyms = keep_synonyms),
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list(
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status = mo_status(y, language = language, keep_synonyms = keep_synonyms),
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return(set_clean_class(x, new_class = c("mo", "character")))
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} else if (property == "snomed") {
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return(sort(as.character(eval(parse(text = x)))))
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} else if (property == "prevalence") {
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return(as.double(x))
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} else {
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# everything else as character
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return(as.character(x))
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# ==================================================================== #
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# TITLE #
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# AMR: An R Package for Working with Antimicrobial Resistance Data #
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# #
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# SOURCE #
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# https://github.com/msberends/AMR #
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# #
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# CITE AS #
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# Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C #
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# (2022). AMR: An R Package for Working with Antimicrobial Resistance #
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# Data. Journal of Statistical Software, 104(3), 1-31. #
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# doi:10.18637/jss.v104.i03 #
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# #
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# Developed at the University of Groningen and the University Medical #
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# Center Groningen in The Netherlands, in collaboration with many #
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# colleagues from around the world, see our website. #
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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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# 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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# #
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# Visit our website for the full manual and a complete tutorial about #
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# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
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# ==================================================================== #
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#' Options for the AMR package
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#'
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#' This is an overview of the package-specific [options()] you can set in the `AMR` package.
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#' @section Options:
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#' * `AMR_custom_ab`: allows to use custom antimicrobial drugs with this package. This is explained in [add_custom_antimicrobials()].
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#' * `AMR_custom_mo`: allows to use custom microorganisms with this package. This is explained in [add_custom_microorganisms()].
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#' @keywords internal
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#' @name AMR-options
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# @export
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NULL
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/options.R
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\name{AMR-options}
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\alias{AMR-options}
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\title{Options for the AMR package}
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\description{
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This is an overview of the package-specific \code{\link[=options]{options()}} you can set in the \code{AMR} package.
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}
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\section{Options}{
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\itemize{
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\item \code{AMR_custom_ab}: allows to use custom antimicrobial drugs with this package. This is explained in \code{\link[=add_custom_antimicrobials]{add_custom_antimicrobials()}}.
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\item \code{AMR_custom_mo}: allows to use custom microorganisms with this package. This is explained in \code{\link[=add_custom_microorganisms]{add_custom_microorganisms()}}.
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}
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}
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\keyword{internal}
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@ -22,10 +22,10 @@ This function will fill in missing taxonomy for you, if specific taxonomic colum
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There are two ways to automate this process:
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\strong{Method 1:} Save the microorganisms to a local or remote file (can even be the internet). To use this method:
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\strong{Method 1:} Using the , which is the preferred method. To use this method:
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\enumerate{
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\item Create a data set in the structure of the \link{microorganisms} data set (containing at the very least column "genus") and save it with \code{\link[=saveRDS]{saveRDS()}} to a location of choice, e.g. \code{"~/my_custom_mo.rds"}, or any remote location.
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\item Set the file location to the \code{AMR_custom_mo} \R option: \code{options(AMR_custom_mo = "~/my_custom_mo.rds")}. This can even be a remote file location, such as an https URL. Since options are not saved between \R sessions, it is best to save this option to the \code{.Rprofile} file so that it will loaded on start-up of \R. To do this, open the \code{.Rprofile} file using e.g. \code{utils::file.edit("~/.Rprofile")}, add this text and save the file:
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\item Set the file location to the \code{AMR_custom_mo} \R option: \code{options(AMR_custom_mo = "~/my_custom_mo.rds")}. This can even be a remote file location, such as an https URL. Since options are not saved between \R sessions, it is best to save this option to the \code{.Rprofile} file so that it will be loaded on start-up of \R. To do this, open the \code{.Rprofile} file using e.g. \code{utils::file.edit("~/.Rprofile")}, add this text and save the file:
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\if{html}{\out{<div class="sourceCode r">}}\preformatted{# Add custom microorganism codes:
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options(AMR_custom_mo = "~/my_custom_mo.rds")
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Upon package load, this file will be loaded and run through the \code{\link[=add_custom_microorganisms]{add_custom_microorganisms()}} function.
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}
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\strong{Method 2:} Save the microorganism directly to your \code{.Rprofile} file. An important downside is that this requires to load the \code{AMR} package at every start-up. To use this method:
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\strong{Method 2:} Loading the microorganism directly from your \code{.Rprofile} file. An important downside is that this requires the \code{AMR} package to be installed or else this method will fail. To use this method:
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\enumerate{
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\item Edit the \code{.Rprofile} file using e.g. \code{utils::file.edit("~/.Rprofile")}.
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\item Add a text like below and save the file:
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\if{html}{\out{<div class="sourceCode r">}}\preformatted{ # Add custom antibiotic drug codes:
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library(AMR)
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add_custom_microorganisms(
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AMR::add_custom_microorganisms(
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data.frame(genus = "Enterobacter",
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species = "asburiae/cloacae")
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)
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}
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\examples{
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\donttest{
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# a combination of species is not formal taxonomy, so
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# this will result in only "Enterobacter asburiae":
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mo_name("Enterobacter asburiae/cloacae")
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# the function tries to be forgiving:
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add_custom_microorganisms(
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data.frame(GENUS = "ESCHERICHIA / KLEBSIELLA SLASHLINE",
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data.frame(GENUS = "BACTEROIDES / PARABACTEROIDES SLASHLINE",
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SPECIES = "SPECIES")
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)
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mo_name("ESCHERICHIA / KLEBSIELLA")
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mo_rank("ESCHERICHIA / KLEBSIELLA")
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mo_name("BACTEROIDES / PARABACTEROIDES")
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mo_rank("BACTEROIDES / PARABACTEROIDES")
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# taxonomy still works, although a slashline genus was given as input:
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mo_family("Escherichia/Klebsiella")
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mo_family("Bacteroides/Parabacteroides")
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# for groups and complexes, set them as species or subspecies:
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add_custom_microorganisms(
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