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# ==================================================================== #
# TITLE #
# AMR: An R Package for Working with Antimicrobial Resistance Data #
# #
# SOURCE #
# https://github.com/msberends/AMR #
# #
# CITE AS #
# Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C #
# (2022). AMR: An R Package for Working with Antimicrobial Resistance #
# Data. Journal of Statistical Software, 104(3), 1-31. #
# doi:10.18637/jss.v104.i03 #
# #
# 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 data analysis: https://msberends.github.io/AMR/ #
# ==================================================================== #
#' Add Manual Antimicrobials to This Package
#'
#' With [add_custom_antimicrobials()] you can add your own manual antimicrobial codes to the `AMR` package.
#' @param x a [data.frame] resembling the [antibiotics] data set, at least containing columns "ab" and "name"
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#' @details Due to how \R works, the [add_custom_antimicrobials()] function has to be run in every \R session - added antimicrobials are not stored between sessions and are thus lost when \R is exited. It is possible to save the antimicrobial additions to your `.Rprofile` file to circumvent this, although this requires to load the `AMR` package at every start-up:
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#'
#' ```r
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#' # Open .Rprofile file
#' utils::file.edit("~/.Rprofile")
#'
#' # Add custom antibiotic codes:
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#' library(AMR)
#' add_custom_antimicrobials(
#' data.frame(ab = "TEST",
#' name = "Test Antibiotic",
#' group = "Test Group")
#' )
#' ```
#'
#' Use [clear_custom_antimicrobials()] to clear the previously added antimicrobials.
#' @rdname add_custom_antimicrobials
#' @export
#' @examples
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#' # returns NA and throws a warning (which is now suppressed):
#' suppressWarnings(
#' as.ab("test")
#' )
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#'
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#' # now add a manual entry - it will be considered by as.ab() and
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#' # all ab_*() functions
#' add_custom_antimicrobials(
#' data.frame(ab = "TEST",
#' name = "Test Antibiotic",
#' group = "Test Group")
#' )
#'
#' "test" is now a new antibiotic:
#' as.ab("test")
#' ab_name("test")
#' ab_group("test")
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#'
#' ab_info("test")
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add_custom_antimicrobials <- function ( x ) {
meet_criteria ( x , allow_class = " data.frame" )
stop_ifnot ( all ( c ( " ab" , " name" ) %in% colnames ( x ) ) ,
" `x` must contain columns \"ab\" and \"name\"." )
stop_if ( any ( x $ ab %in% AB_lookup $ ab ) ,
" Antimicrobial code(s) " , vector_and ( x $ ab [x $ ab %in% AB_lookup $ ab ] ) , " already exist in the internal `antibiotics` data set." )
x <- x [ , colnames ( AB_lookup ) [colnames ( AB_lookup ) %in% colnames ( x ) ] , drop = FALSE ]
x $ generalised_name <- generalise_antibiotic_name ( x $ name )
x $ generalised_all <- as.list ( x $ generalised_name )
bind_rows <- import_fn ( " bind_rows" , " dplyr" , error_on_fail = FALSE )
if ( ! is.null ( bind_rows ) ) {
new_df <- bind_rows ( AB_lookup , x )
} else {
new_df <- rbind ( AB_lookup , x , stringsAsFactors = FALSE )
}
assignInNamespace ( x = " AB_lookup" ,
value = new_df ,
ns = asNamespace ( " AMR" ) )
message_ ( " Added " , nr2char ( nrow ( x ) ) , " record" , ifelse ( nrow ( x ) > 1 , " s" , " " ) , " to internal `antibiotics` data set." )
}
#' @rdname add_custom_antimicrobials
#' @export
clear_custom_antimicrobials <- function ( ) {
assignInNamespace ( x = " AB_lookup" ,
value = create_AB_lookup ( ) ,
ns = asNamespace ( " AMR" ) )
message_ ( " Manual antimicrobials cleared." )
}