(v1.7.1.9069) CLSI 2021 support

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dr. M.S. (Matthijs) Berends committed 2021-12-12 11:36:58 +01:00
1 parent 1e66a3daf3
commit f90e27c1b0
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# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Data Analysis for R #
# #
# SOURCE #
# https://github.com/msberends/AMR #
# #
# LICENCE #
# (c) 2018-2021 Berends MS, Luz CF et al. #
# 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/ #
# ==================================================================== #
library(dplyr)
library(readr)
library(tidyr)
@@ -11,9 +36,10 @@ rsi_trans <- DRGLST1 %>%
if (any(is.na(rsi_trans$BREAKPOINT_TYPE)) | !"Human" %in% rsi_trans$BREAKPOINT_TYPE) {
stop("Check column BREAKPOINT_TYPE - something is WRONG!")
}
sort(unique(rsi_trans$GUIDELINES))
rsi_trans <- rsi_trans %>%
##### If looking for adding a specific guideline, do it here!
# filter(GUIDELINES == "CLSI20") %>%
filter(GUIDELINES == "CLSI21") %>%
#####
filter(BREAKPOINT_TYPE == "Human") %>%
mutate(DISK_S = ifelse(as.double(DISK_S) > 50, 50, DISK_S),
@@ -52,6 +78,8 @@ rsi_trans <- bind_rows(tbl_mic, tbl_disk) %>%
select(-ends_with("_mic"), -ends_with("_disk"))
# add extra CLSI general guidelines
# Installed WHONET software on Windows (http://www.whonet.org/software.html),
# imported C:\WHONET\Codes\DRGLST.txt
clsi_general <- readr::read_tsv("data-raw/DRGLST.txt") %>%
filter(CLSI == "X") %>%
select(WHON5_CODE,
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