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106 lines
4.4 KiB
R
Executable File
106 lines
4.4 KiB
R
Executable File
# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Analysis #
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# #
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# SOURCE #
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# https://gitlab.com/msberends/AMR #
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# #
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# LICENCE #
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# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
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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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# #
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# This R package was created for academic research and was publicly #
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# released in the hope that it will be useful, but it comes WITHOUT #
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# ANY WARRANTY OR LIABILITY. #
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# Visit our website for more info: https://msberends.gitab.io/AMR. #
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# ==================================================================== #
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context("eucast_rules.R")
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test_that("EUCAST rules work", {
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expect_error(suppressWarnings(eucast_rules(septic_patients, col_mo = "Non-existing")))
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expect_identical(colnames(septic_patients),
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colnames(suppressWarnings(eucast_rules(septic_patients))))
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a <- data.frame(mo = c("KLEPNE", # Klebsiella pneumoniae
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"PSEAER", # Pseudomonas aeruginosa
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"ENTAER"), # Enterobacter aerogenes
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amox = "-", # Amoxicillin
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stringsAsFactors = FALSE)
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b <- data.frame(mo = c("KLEPNE", # Klebsiella pneumoniae
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"PSEAER", # Pseudomonas aeruginosa
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"ENTAER"), # Enterobacter aerogenes
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amox = "R", # Amoxicillin
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stringsAsFactors = FALSE)
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expect_identical(suppressWarnings(eucast_rules(a, "mo", info = FALSE)), b)
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expect_identical(suppressWarnings(eucast_rules(a, "mo", info = TRUE)), b)
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expect_identical(suppressWarnings(interpretive_reading(a, "mo", info = TRUE)), b)
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a <- data.frame(mo = c("STAAUR", # Staphylococcus aureus
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"STCGRA"), # Streptococcus pyognenes (Lancefield Group A)
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coli = "-", # Colistin
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stringsAsFactors = FALSE)
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b <- data.frame(mo = c("STAAUR", # Staphylococcus aureus
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"STCGRA"), # Streptococcus pyognenes (Lancefield Group A)
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coli = "R", # Colistin
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stringsAsFactors = FALSE)
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expect_equal(suppressWarnings(eucast_rules(a, "mo", info = FALSE)), b)
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# piperacillin must be R in Enterobacteriaceae when tica is R
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library(dplyr)
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expect_equal(suppressWarnings(
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septic_patients %>%
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mutate(tica = as.rsi("R"),
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pipe = as.rsi("S")) %>%
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eucast_rules(col_mo = "mo") %>%
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left_join_microorganisms() %>%
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filter(family == "Enterobacteriaceae") %>%
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pull(pipe) %>%
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unique() %>%
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as.character()),
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"R")
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# azit and clar must be equal to eryt
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a <- suppressWarnings(
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septic_patients %>%
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transmute(mo,
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eryt,
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azit = as.rsi("R"),
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clar = as.rsi("R")) %>%
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eucast_rules(col_mo = "mo") %>%
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pull(clar))
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b <- suppressWarnings(
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septic_patients %>%
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select(mo, eryt) %>%
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eucast_rules(col_mo = "mo") %>%
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pull(eryt))
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expect_identical(a[!is.na(b)],
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b[!is.na(b)])
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# amox is inferred by benzylpenicillin in Kingella kingae
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expect_equal(
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suppressWarnings(
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as.list(eucast_rules(
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data.frame(mo = as.mo("Kingella kingae"),
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peni = "S",
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amox = "-",
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stringsAsFactors = FALSE)
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, info = FALSE))$amox
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),
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"S")
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# also test norf
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expect_output(suppressWarnings(eucast_rules(septic_patients %>% mutate(norf = "S", nali = "S"))))
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# check verbose output
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expect_output(suppressWarnings(eucast_rules(septic_patients, verbose = TRUE)))
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})
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