mirror of
https://github.com/msberends/AMR.git
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70 lines
3.3 KiB
R
70 lines
3.3 KiB
R
# ==================================================================== #
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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, the Netherlands, in #
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# collaboration with non-profit organisations Certe Medical #
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# Diagnostics & Advice, and University Medical Center Groningen. #
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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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# last updated: 20 January 2020 - Loinc_2.67
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# Steps to reproduce:
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# 1. Create a fake account at https://loinc.org (sad you have to create one...)
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# 2. Download the CSV from https://loinc.org/download/loinc-table-file-csv/ (Loinc_2.67_Text_2.67.zip)
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# 3. Read Loinc.csv that's in this zip file
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loinc_df <- read.csv("data-raw/Loinc.csv",
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row.names = NULL,
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stringsAsFactors = FALSE
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)
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# 4. Clean and add
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library(dplyr)
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library(cleaner)
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library(AMR)
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loinc_df %>% freq(CLASS) # to find the drugs
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loinc_df <- loinc_df %>% filter(CLASS == "DRUG/TOX")
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ab_names <- antibiotics %>%
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pull(name) %>%
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paste0(collapse = "|") %>%
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paste0("(", ., ")")
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antibiotics$loinc <- as.list(rep(NA_character_, nrow(antibiotics)))
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for (i in seq_len(nrow(antibiotics))) {
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loinc_ab <- loinc_df %>%
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filter(COMPONENT %like% paste0("^", antibiotics$name[i])) %>%
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pull(LOINC_NUM)
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if (length(loinc_ab) > 0) {
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antibiotics$loinc[i] <- list(loinc_ab)
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}
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}
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# sort and fix for empty values
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for (i in 1:nrow(antibiotics)) {
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loinc <- as.character(sort(unique(tolower(antibiotics[i, "loinc"][[1]]))))
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antibiotics[i, "loinc"][[1]] <- ifelse(length(syn[!syn == ""]) == 0, list(""), list(loinc))
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}
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dim(antibiotics) # for R/data.R
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usethis::use_data(antibiotics, overwrite = TRUE)
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rm(antibiotics)
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