1
0
mirror of https://github.com/msberends/AMR.git synced 2024-12-26 04:46:11 +01:00

add add_custom_antimicrobials()

This commit is contained in:
dr. M.S. (Matthijs) Berends 2022-10-10 20:20:39 +02:00
parent 4fe90092c7
commit 82e3198315
8 changed files with 209 additions and 11 deletions

View File

@ -1,5 +1,5 @@
Package: AMR Package: AMR
Version: 1.8.2.9009 Version: 1.8.2.9010
Date: 2022-10-10 Date: 2022-10-10
Title: Antimicrobial Resistance Data Analysis Title: Antimicrobial Resistance Data Analysis
Description: Functions to simplify and standardise antimicrobial resistance (AMR) Description: Functions to simplify and standardise antimicrobial resistance (AMR)

View File

@ -181,6 +181,7 @@ export(ab_selector)
export(ab_synonyms) export(ab_synonyms)
export(ab_tradenames) export(ab_tradenames)
export(ab_url) export(ab_url)
export(add_custom_antimicrobials)
export(administrable_iv) export(administrable_iv)
export(administrable_per_os) export(administrable_per_os)
export(age) export(age)
@ -212,6 +213,7 @@ export(cephalosporins_2nd)
export(cephalosporins_3rd) export(cephalosporins_3rd)
export(cephalosporins_4th) export(cephalosporins_4th)
export(cephalosporins_5th) export(cephalosporins_5th)
export(clear_custom_antimicrobials)
export(count_I) export(count_I)
export(count_IR) export(count_IR)
export(count_R) export(count_R)

View File

@ -1,4 +1,4 @@
# AMR 1.8.2.9009 # AMR 1.8.2.9010
This version will eventually become v2.0! We're happy to reach a new major milestone soon! This version will eventually become v2.0! We're happy to reach a new major milestone soon!
@ -20,6 +20,7 @@ This version will eventually become v2.0! We're happy to reach a new major miles
* Function `mean_amr_distance()` to calculate the mean AMR distance. The mean AMR distance is a normalised numeric value to compare AMR test results and can help to identify similar isolates, without comparing antibiograms by hand. * Function `mean_amr_distance()` to calculate the mean AMR distance. The mean AMR distance is a normalised numeric value to compare AMR test results and can help to identify similar isolates, without comparing antibiograms by hand.
* Function `rsi_interpretation_history()` to view the history of previous runs of `as.rsi()`. This returns a 'logbook' with the selected guideline, reference table and specific interpretation of each row in a data set on which `as.rsi()` was run. * Function `rsi_interpretation_history()` to view the history of previous runs of `as.rsi()`. This returns a 'logbook' with the selected guideline, reference table and specific interpretation of each row in a data set on which `as.rsi()` was run.
* Function `mo_current()` to get the currently valid taxonomic name of a microorganism * Function `mo_current()` to get the currently valid taxonomic name of a microorganism
* Function `add_custom_antimicrobials()` to add custom antimicrobial codes and names to the `AMR` package
* Support for `data.frame`-enhancing R packages, more specifically: `data.table::data.table`, `janitor::tabyl`, `tibble::tibble`, and `tsibble::tsibble`. AMR package functions that have a data set as output (such as `rsi_df()` and `bug_drug_combinations()`), will now return the same data type as the input. * Support for `data.frame`-enhancing R packages, more specifically: `data.table::data.table`, `janitor::tabyl`, `tibble::tibble`, and `tsibble::tsibble`. AMR package functions that have a data set as output (such as `rsi_df()` and `bug_drug_combinations()`), will now return the same data type as the input.
* All data sets in this package are now exported as `tibble`, instead of base R `data.frame`s. Older R versions are still supported. * All data sets in this package are now exported as `tibble`, instead of base R `data.frame`s. Older R versions are still supported.
* Support for the following languages: Chinese, Greek, Japanese, Polish, Turkish and Ukrainian. We are very grateful for the valuable input by our colleagues from other countries. The `AMR` package is now available in 16 languages. * Support for the following languages: Chinese, Greek, Japanese, Polish, Turkish and Ukrainian. We are very grateful for the valuable input by our colleagues from other countries. The `AMR` package is now available in 16 languages.

20
R/ab.R
View File

@ -48,6 +48,8 @@
#' Use the [`ab_*`][ab_property()] functions to get properties based on the returned antibiotic ID, see *Examples*. #' Use the [`ab_*`][ab_property()] functions to get properties based on the returned antibiotic ID, see *Examples*.
#' #'
#' Note: the [as.ab()] and [`ab_*`][ab_property()] functions may use very long regular expression to match brand names of antimicrobial agents. This may fail on some systems. #' Note: the [as.ab()] and [`ab_*`][ab_property()] functions may use very long regular expression to match brand names of antimicrobial agents. This may fail on some systems.
#'
#' You can add your own manual codes to be considered by [as.ab()] and all [`ab_*`][ab_property()] functions, see [add_custom_antimicrobials()].
#' @section Source: #' @section Source:
#' World Health Organization (WHO) Collaborating Centre for Drug Statistics Methodology: \url{https://www.whocc.no/atc_ddd_index/} #' World Health Organization (WHO) Collaborating Centre for Drug Statistics Methodology: \url{https://www.whocc.no/atc_ddd_index/}
#' #'
@ -218,7 +220,7 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = interactive(), ...) {
AB_lookup$generalised_loinc, AB_lookup$generalised_loinc,
function(s) x[i] %in% s function(s) x[i] %in% s
)) ))
found <- AMR::antibiotics$ab[loinc_found == TRUE] found <- AB_lookup$ab[loinc_found == TRUE]
if (length(found) > 0) { if (length(found) > 0) {
x_new[i] <- note_if_more_than_one_found(found, i, from_text) x_new[i] <- note_if_more_than_one_found(found, i, from_text)
next next
@ -229,7 +231,7 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = interactive(), ...) {
AB_lookup$generalised_synonyms, AB_lookup$generalised_synonyms,
function(s) x[i] %in% s function(s) x[i] %in% s
)) ))
found <- AMR::antibiotics$ab[synonym_found == TRUE] found <- AB_lookup$ab[synonym_found == TRUE]
if (length(found) > 0) { if (length(found) > 0) {
x_new[i] <- note_if_more_than_one_found(found, i, from_text) x_new[i] <- note_if_more_than_one_found(found, i, from_text)
next next
@ -241,7 +243,7 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = interactive(), ...) {
# require at least 2 characters for abbreviations # require at least 2 characters for abbreviations
function(s) x[i] %in% s && nchar(x[i]) >= 2 function(s) x[i] %in% s && nchar(x[i]) >= 2
)) ))
found <- AMR::antibiotics$ab[abbr_found == TRUE] found <- AB_lookup$ab[abbr_found == TRUE]
if (length(found) > 0) { if (length(found) > 0) {
x_new[i] <- note_if_more_than_one_found(found, i, from_text) x_new[i] <- note_if_more_than_one_found(found, i, from_text)
next next
@ -288,13 +290,13 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = interactive(), ...) {
} }
# try if name starts with it # try if name starts with it
found <- AMR::antibiotics[which(AB_lookup$generalised_name %like% paste0("^", x_spelling)), "ab", drop = TRUE] found <- AB_lookup[which(AB_lookup$generalised_name %like% paste0("^", x_spelling)), "ab", drop = TRUE]
if (length(found) > 0) { if (length(found) > 0) {
x_new[i] <- note_if_more_than_one_found(found, i, from_text) x_new[i] <- note_if_more_than_one_found(found, i, from_text)
next next
} }
# try if name ends with it # try if name ends with it
found <- AMR::antibiotics[which(AB_lookup$generalised_name %like% paste0(x_spelling, "$")), "ab", drop = TRUE] found <- AB_lookup[which(AB_lookup$generalised_name %like% paste0(x_spelling, "$")), "ab", drop = TRUE]
if (nchar(x[i]) >= 4 && length(found) > 0) { if (nchar(x[i]) >= 4 && length(found) > 0) {
x_new[i] <- note_if_more_than_one_found(found, i, from_text) x_new[i] <- note_if_more_than_one_found(found, i, from_text)
next next
@ -305,7 +307,7 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = interactive(), ...) {
AB_lookup$generalised_synonyms, AB_lookup$generalised_synonyms,
function(s) any(s %like% paste0("^", x_spelling)) function(s) any(s %like% paste0("^", x_spelling))
)) ))
found <- AMR::antibiotics$ab[synonym_found == TRUE] found <- AB_lookup$ab[synonym_found == TRUE]
if (length(found) > 0) { if (length(found) > 0) {
x_new[i] <- note_if_more_than_one_found(found, i, from_text) x_new[i] <- note_if_more_than_one_found(found, i, from_text)
next next
@ -583,7 +585,7 @@ as.data.frame.ab <- function(x, ...) {
"[<-.ab" <- function(i, j, ..., value) { "[<-.ab" <- function(i, j, ..., value) {
y <- NextMethod() y <- NextMethod()
attributes(y) <- attributes(i) attributes(y) <- attributes(i)
return_after_integrity_check(y, "antimicrobial code", AMR::antibiotics$ab) return_after_integrity_check(y, "antimicrobial code", AB_lookup$ab)
} }
#' @method [[<- ab #' @method [[<- ab
#' @export #' @export
@ -591,7 +593,7 @@ as.data.frame.ab <- function(x, ...) {
"[[<-.ab" <- function(i, j, ..., value) { "[[<-.ab" <- function(i, j, ..., value) {
y <- NextMethod() y <- NextMethod()
attributes(y) <- attributes(i) attributes(y) <- attributes(i)
return_after_integrity_check(y, "antimicrobial code", AMR::antibiotics$ab) return_after_integrity_check(y, "antimicrobial code", AB_lookup$ab)
} }
#' @method c ab #' @method c ab
#' @export #' @export
@ -600,7 +602,7 @@ c.ab <- function(...) {
x <- list(...)[[1L]] x <- list(...)[[1L]]
y <- NextMethod() y <- NextMethod()
attributes(y) <- attributes(x) attributes(y) <- attributes(x)
return_after_integrity_check(y, "antimicrobial code", AMR::antibiotics$ab) return_after_integrity_check(y, "antimicrobial code", AB_lookup$ab)
} }
#' @method unique ab #' @method unique ab

View File

@ -0,0 +1,98 @@
# ==================================================================== #
# 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"
#' @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, for example:
#'
#' ```r
#' 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
#' \donttest{
#'
#' # returns NA and throws a warning:
#' as.ab("test")
#'
#' # now a manual entry - it will be considered by as.ab() and
#' # 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")
#' }
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.")
}

View File

@ -0,0 +1,43 @@
# ==================================================================== #
# 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/ #
# ==================================================================== #
expect_warning(as.ab("test"))
expect_identical(as.character(suppressWarnings(as.ab("test"))), NA_character_)
suppressMessages(
add_custom_antimicrobials(
data.frame(ab = "TEST",
name = "Test Antibiotic",
group = "Test Group")
)
)
expect_identical(as.character(as.ab("test")), "TEST")
expect_identical(ab_name("test"), "Test Antibiotic")
expect_identical(ab_group("test"), "Test Group")

View File

@ -0,0 +1,50 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/add_custom_antimicrobials.R
\name{add_custom_antimicrobials}
\alias{add_custom_antimicrobials}
\alias{clear_custom_antimicrobials}
\title{Add Manual Antimicrobials to This Package}
\usage{
add_custom_antimicrobials(x)
clear_custom_antimicrobials()
}
\arguments{
\item{x}{a \link{data.frame} resembling the \link{antibiotics} data set, at least containing columns "ab" and "name"}
}
\description{
With \code{\link[=add_custom_antimicrobials]{add_custom_antimicrobials()}} you can add your own manual antimicrobial codes to the \code{AMR} package.
}
\details{
Due to how \R works, the \code{\link[=add_custom_antimicrobials]{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 \code{.Rprofile} file to circumvent this, for example:
\if{html}{\out{<div class="sourceCode r">}}\preformatted{library(AMR)
add_custom_antimicrobials(
data.frame(ab = "TEST",
name = "Test Antibiotic",
group = "Test Group")
)
}\if{html}{\out{</div>}}
Use \code{\link[=clear_custom_antimicrobials]{clear_custom_antimicrobials()}} to clear the previously added antimicrobials.
}
\examples{
\donttest{
# returns NA and throws a warning:
as.ab("test")
# now a manual entry - it will be considered by as.ab() and
# 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")
}
}

View File

@ -39,6 +39,8 @@ All these properties will be searched for the user input. The \code{\link[=as.ab
Use the \code{\link[=ab_property]{ab_*}} functions to get properties based on the returned antibiotic ID, see \emph{Examples}. Use the \code{\link[=ab_property]{ab_*}} functions to get properties based on the returned antibiotic ID, see \emph{Examples}.
Note: the \code{\link[=as.ab]{as.ab()}} and \code{\link[=ab_property]{ab_*}} functions may use very long regular expression to match brand names of antimicrobial agents. This may fail on some systems. Note: the \code{\link[=as.ab]{as.ab()}} and \code{\link[=ab_property]{ab_*}} functions may use very long regular expression to match brand names of antimicrobial agents. This may fail on some systems.
You can add your own manual codes to be considered by \code{\link[=as.ab]{as.ab()}} and all \code{\link[=ab_property]{ab_*}} functions, see \code{\link[=add_custom_antimicrobials]{add_custom_antimicrobials()}}.
} }
\section{Source}{ \section{Source}{