2022-10-10 20:20:39 +02:00
# ==================================================================== #
# 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/ #
# ==================================================================== #
2022-10-10 21:38:39 +02:00
#' Add Custom Antimicrobials to This Package
2022-10-10 20:20:39 +02:00
#'
2022-10-10 21:38:39 +02:00
#' With [add_custom_antimicrobials()] you can add your own custom antimicrobial codes to the `AMR` package.
2022-10-10 20:20:39 +02:00
#' @param x a [data.frame] resembling the [antibiotics] data set, at least containing columns "ab" and "name"
2022-10-10 21:03:39 +02:00
#' @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:
2022-10-10 20:20:39 +02:00
#'
#' ```r
2022-10-10 21:03:39 +02:00
#' # Open .Rprofile file
#' utils::file.edit("~/.Rprofile")
#'
#' # Add custom antibiotic codes:
2022-10-10 20:20:39 +02:00
#' 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
2022-10-15 15:20:13 +02:00
#' \donttest{
#'
2022-10-10 21:03:39 +02:00
#' # returns NA and throws a warning (which is now suppressed):
#' suppressWarnings(
#' as.ab("test")
#' )
2022-10-10 20:20:39 +02:00
#'
2022-10-10 21:38:39 +02:00
#' # now add a custom entry - it will be considered by as.ab() and
2022-10-10 20:20:39 +02:00
#' # all ab_*() functions
#' add_custom_antimicrobials(
#' data.frame(ab = "TEST",
#' name = "Test Antibiotic",
2022-10-10 21:38:39 +02:00
#' # you can add any property present in the
#' # 'antibiotics' data set, such as 'group':
2022-10-10 20:20:39 +02:00
#' group = "Test Group")
#' )
#'
2022-10-10 21:38:39 +02:00
#' # "test" is now a new antibiotic:
2022-10-10 20:20:39 +02:00
#' as.ab("test")
#' ab_name("test")
#' ab_group("test")
2022-10-10 21:03:39 +02:00
#'
#' ab_info("test")
2022-10-11 10:49:55 +02:00
#'
#'
#' # Add Co-fluampicil, which is one of the many J01CR50 codes, see
#' # https://www.whocc.no/ddd/list_of_ddds_combined_products/
#' add_custom_antimicrobials(
#' data.frame(ab = "COFLU",
#' name = "Co-fluampicil",
#' atc = "J01CR50",
#' group = "Beta-lactams/penicillines")
#' )
#' ab_atc("Co-fluampicil")
#' ab_name("J01CR50")
#'
#' # even antibiotic selectors work
#' x <- data.frame(random_column = "test",
2022-10-14 13:02:50 +02:00
#' coflu = as.rsi("S"),
#' ampicillin = as.rsi("R"))
2022-10-11 10:49:55 +02:00
#' x
#' x[, betalactams()]
2022-10-15 15:20:13 +02:00
#' }
2022-10-10 20:20:39 +02:00
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\"." )
2022-10-14 13:02:50 +02:00
stop_if ( any ( x $ ab %in% AMR_env $ AB_lookup $ ab ) ,
" Antimicrobial code(s) " , vector_and ( x $ ab [x $ ab %in% AMR_env $ AB_lookup $ ab ] ) , " already exist in the internal `antibiotics` data set." )
2022-10-10 20:20:39 +02:00
2022-10-14 13:02:50 +02:00
x <- x [ , colnames ( AMR_env $ AB_lookup ) [colnames ( AMR_env $ AB_lookup ) %in% colnames ( x ) ] , drop = FALSE ]
2022-10-10 20:20:39 +02:00
x $ generalised_name <- generalise_antibiotic_name ( x $ name )
x $ generalised_all <- as.list ( x $ generalised_name )
2022-10-11 10:49:55 +02:00
if ( " atc" %in% colnames ( x ) ) {
x $ atc <- as.list ( x $ atc )
}
if ( " loinc" %in% colnames ( x ) ) {
x $ loinc <- as.list ( x $ loinc )
}
AMR_env $ custom_ab_codes <- c ( AMR_env $ custom_ab_codes , x $ ab )
2022-10-15 15:20:13 +02:00
class ( AMR_env $ AB_lookup $ ab ) <- " character"
2022-10-18 22:53:38 +02:00
bind_rows <- import_fn ( " bind_rows" , " dplyr" , error_on_fail = FALSE )
2022-10-15 15:20:13 +02:00
if ( is.null ( bind_rows ) ) {
# do the binding in base R
new_df <- AMR_env $ AB_lookup [0 , , drop = FALSE ] [seq_len ( NROW ( x ) ) , , drop = FALSE ]
rownames ( new_df ) <- NULL
2022-10-18 22:53:38 +02:00
list_cols <- vapply ( FUN.VALUE = logical ( 1 ) , new_df , is.list )
for ( l in which ( list_cols ) ) {
# prevent binding NULLs in lists, replace with NA
new_df [ , l ] <- as.list ( NA_character_ )
}
2022-10-15 15:20:13 +02:00
for ( col in colnames ( x ) ) {
2022-10-18 22:53:38 +02:00
# assign new values
new_df [ , col ] <- x [ , col , drop = TRUE ]
2022-10-15 15:20:13 +02:00
}
AMR_env $ AB_lookup <- unique ( rbind ( AMR_env $ AB_lookup , new_df ) )
} else {
# otherwise use dplyr
AMR_env $ AB_lookup <- unique ( bind_rows ( AMR_env $ AB_lookup , x ) )
}
class ( AMR_env $ AB_lookup $ ab ) <- c ( " ab" , " character" )
2022-10-11 10:49:55 +02:00
message_ ( " Added " , nr2char ( nrow ( x ) ) , " record" , ifelse ( nrow ( x ) > 1 , " s" , " " ) , " to the internal `antibiotics` data set." )
2022-10-10 20:20:39 +02:00
}
#' @rdname add_custom_antimicrobials
#' @export
clear_custom_antimicrobials <- function ( ) {
2022-10-14 13:02:50 +02:00
AMR_env $ AB_lookup <- create_AB_lookup ( )
2022-10-11 10:49:55 +02:00
AMR_env $ custom_ab_codes <- character ( 0 )
2022-10-10 21:38:39 +02:00
message_ ( " Custom antimicrobials cleared." )
2022-10-10 20:20:39 +02:00
}