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AMR/inst/tinytest/test-sir.R

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# ==================================================================== #
# TITLE: #
# AMR: An R Package for Working with Antimicrobial Resistance Data #
# #
# SOURCE CODE: #
# https://github.com/msberends/AMR #
# #
# PLEASE CITE THIS SOFTWARE 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. #
# https://doi.org/10.18637/jss.v104.i03 #
# #
# Developed at the University of Groningen and the University Medical #
# Center Groningen in The Netherlands, in collaboration with many #
# colleagues from around the world, see our website. #
# #
# 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/ #
# ==================================================================== #
# Existing SIR ------------------------------------------------------------
# we must only have EUCAST and CLSI, because otherwise the rules in as.sir() will fail
expect_identical(
unique(gsub("[^A-Z]", "", AMR::clinical_breakpoints$guideline)),
c("EUCAST", "CLSI")
)
expect_true(as.sir("S") < as.sir("I"))
expect_true(as.sir("I") < as.sir("R"))
expect_true(is.sir(as.sir("S")))
x <- example_isolates$AMX
expect_inherits(x[1], "sir")
expect_inherits(x[[1]], "sir")
expect_inherits(c(x[1], x[9]), "sir")
expect_inherits(unique(x[1], x[9]), "sir")
pdf(NULL) # prevent Rplots.pdf being created
expect_silent(barplot(as.sir(c("S", "I", "R"))))
expect_silent(plot(as.sir(c("S", "I", "R"))))
if (AMR:::pkg_is_available("ggplot2")) {
expect_inherits(ggplot2::autoplot(as.sir(c("S", "I", "R"))), "gg")
}
expect_stdout(print(as.sir(c("S", "I", "R"))))
expect_equal(as.character(as.sir(c(1:3))), c("S", "I", "R"))
expect_equal(as.character(as.sir(c(1:3))), c("S", "I", "R"))
expect_equal(suppressWarnings(as.logical(as.sir("INVALID VALUE"))), NA)
expect_equal(
summary(as.sir(c("S", "R"))),
structure(c(
"Class" = "sir",
"%R" = "50.0% (n=1)",
"%SI" = "50.0% (n=1)",
"- %S" = "50.0% (n=1)",
"- %I" = " 0.0% (n=0)"
), class = c("summaryDefault", "table"))
)
expect_identical(
as.logical(lapply(example_isolates, is_sir_eligible)),
as.logical(lapply(example_isolates, is.sir))
)
expect_error(as.sir.mic(as.mic(16)))
expect_error(as.sir.disk(as.disk(16)))
expect_error(get_guideline("this one does not exist"))
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0", also_load = TRUE)) {
# 40 sir columns
expect_equal(
example_isolates %>%
mutate_at(vars(PEN:RIF), as.character) %>%
lapply(is_sir_eligible) %>%
as.logical() %>%
sum(),
40
)
expect_equal(sum(is.sir(example_isolates)), 40)
expect_stdout(print(tibble(ab = as.sir("S"))))
expect_true(example_isolates %>%
select(AMC, MEM) %>%
mutate(MEM = as.sir(ifelse(AMC == "S", "S", MEM))) %>%
pull(MEM) %>%
is.sir())
}
if (AMR:::pkg_is_available("skimr", min_version = "2.0.0", also_load = TRUE)) {
expect_inherits(
skim(example_isolates),
"data.frame"
)
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0", also_load = TRUE)) {
expect_inherits(
example_isolates %>%
mutate(
m = as.mic(2),
d = as.disk(20)
) %>%
skim(),
"data.frame"
)
}
}
expect_equal(as.sir(c("", "-", NA, "NULL")), c(NA_sir_, NA_sir_, NA_sir_, NA_sir_))
# Human -------------------------------------------------------------------
mics <- as.mic(2 ^ c(-4:6)) # 0.0625 to 64 in factors of 2
expect_identical(as.character(as.sir(mics, mo = "Enterobacterales", ab = "AMC", guideline = "EUCAST 2022",
uti = FALSE, include_PKPD = FALSE)),
c("S", "S", "S", "S", "S", "S", "S", "S", "R", "R", "R"))
expect_identical(as.character(as.sir(mics, mo = "Enterobacterales", ab = "AMC", guideline = "EUCAST 2022",
uti = TRUE, include_PKPD = FALSE)),
c("S", "S", "S", "S", "S", "S", "S", "S", "S", "S", "R"))
expect_identical(as.character(as.sir(mics, mo = "Escherichia coli", ab = "AMC", guideline = "EUCAST 2022",
uti = FALSE, include_PKPD = FALSE)),
c("S", "S", "S", "S", "S", "S", "S", "S", "R", "R", "R"))
# S. pneumoniae/ampicillin in EUCAST 2020: 0.5-2 ug/ml (R is only > 2)
expect_equal(suppressMessages(
as.character(
as.sir(
x = as.mic(c(0.125, 0.5, 1, 2, 4)),
mo = "B_STRPT_PNMN",
ab = "AMP",
guideline = "EUCAST 2020"
)
)),
c("S", "S", "I", "I", "R")
)
# S. pneumoniae/amoxicillin in CLSI 2019: 2-8 ug/ml (R is 8 and > 8)
expect_equal(suppressMessages(
as.character(
as.sir(
x = as.mic(c(1, 2, 4, 8, 16)),
mo = "B_STRPT_PNMN",
ab = "AMX",
guideline = "CLSI 2019"
)
)),
c("S", "S", "I", "R", "R")
)
expect_true(is.data.frame(sir_interpretation_history(clean = FALSE)))
expect_true(is.data.frame(sir_interpretation_history(clean = TRUE)))
expect_true(is.null(sir_interpretation_history()))
# cutoffs at MIC = 8
expect_equal(
suppressMessages(as.sir(as.mic(2), "E. coli", "ampicillin", guideline = "EUCAST 2020")),
as.sir("S")
)
expect_equal(
suppressMessages(as.sir(as.mic(32), "E. coli", "ampicillin", guideline = "EUCAST 2020")),
as.sir("R")
)
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0", also_load = TRUE)) {
expect_true(suppressWarnings(example_isolates %>%
mutate(amox_mic = as.mic(2)) %>%
select(mo, amox_mic) %>%
as.sir() %>%
pull(amox_mic) %>%
is.sir()))
}
expect_equal(
as.character(
as.sir(
x = as.disk(22),
mo = "B_STRPT_PNMN",
ab = "ERY",
guideline = "CLSI"
)
),
"S"
)
expect_equal(
as.character(
as.sir(
x = as.disk(18),
mo = "B_STRPT_PNMN",
ab = "ERY",
guideline = "CLSI"
)
),
"I"
)
expect_equal(
as.character(
as.sir(
x = as.disk(10),
mo = "B_STRPT_PNMN",
ab = "ERY",
guideline = "CLSI"
)
),
"R"
)
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0", also_load = TRUE)) {
expect_true(example_isolates %>%
mutate(amox_disk = as.disk(15)) %>%
select(mo, amox_disk) %>%
as.sir(guideline = "CLSI") %>%
pull(amox_disk) %>%
is.sir())
# used by group_by() on sir_calc_df(), check some internals to see if grouped calculation without tidyverse works
groups <- example_isolates %>%
group_by(mo) %>%
attributes() %>%
.$groups
expect_equal(nrow(groups),
90)
expect_equal(class(groups$.rows),
c("vctrs_list_of", "vctrs_vctr", "list"))
expect_equal(groups$.rows[[1]],
c(101, 524, 1368))
expect_equal(example_isolates[c(101, 524, 1368), "mo", drop = TRUE],
rep(groups$mo[1], 3))
}
# frequency tables
if (AMR:::pkg_is_available("cleaner")) {
expect_inherits(cleaner::freq(example_isolates$AMX), "freq")
}
df <- data.frame(
microorganism = "Escherichia coli",
AMP = as.mic(8),
CIP = as.mic(0.256),
GEN = as.disk(18),
TOB = as.disk(16),
ERY = "R", # note about assigning <rsi> class
CLR = "V"
) # note about cleaning
expect_inherits(
suppressWarnings(as.sir(df)),
"data.frame"
)
expect_inherits(
suppressWarnings(as.sir(data.frame(
mo = "Escherichia coli",
amoxi = c("S", "I", "R", "invalid")
))$amoxi),
"sir"
)
# expect_warning(as.sir(data.frame(mo = "E. coli", NIT = c("<= 2", 32))))
expect_message(as.sir(data.frame(
mo = "E. coli",
NIT = c("<= 2", 32),
uti = TRUE
)))
expect_message(as.sir(data.frame(
mo = "E. coli",
NIT = c("<= 2", 32),
specimen = c("urine", "blood")
)))
# Veterinary --------------------------------------------------------------
sir_history <- sir_interpretation_history(clean = TRUE)
vet <- data.frame(animal = c(rep("cat", 3), rep("dogs", 3), "canine", "equine", "horse", "cattle", "bird"),
PRA = mics,
FLR = mics,
mo = mo_name(rep(c("B_ESCHR_COLI", "B_PSTRL_MLTC", "B_MNNHM_HMLY"), 4)[-1]))
out_vet <- as.sir(vet, host = vet$animal, guideline = "CLSI")
# host column name instead of values
expect_identical(out_vet,
as.sir(vet, host = "animal", guideline = "CLSI 2023"))
# check outcomes
expect_identical(out_vet$PRA, as.sir(c("S", NA, "S", "R", NA, "R", "R", NA, "R", "R", NA)))
expect_identical(out_vet$FLR, as.sir(c("S", "S", NA, "S", "S", NA, "I", "R", NA, "R", "R")))
out_vet <- as.sir(vet, host = "animal", guideline = "EUCAST 2023")
expect_identical(out_vet$PRA, rep(NA_sir_, 11))
expect_identical(out_vet$FLR, as.sir(c("S", "S", NA, "S", "S", NA, "I", "R", NA, "R", "R")))
sir_history <- sir_interpretation_history()
expect_identical(sir_history$host,
c("cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle",
"cattle", "cattle", "cattle", "cattle", "cattle", "cats" , "cats" , "cats" , "cattle", "cattle", "cattle",
"cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle",
"cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle",
"cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle", "cattle",
"cats" , "cats" , "cats" , "dogs" , "dogs" , "dogs" , "cattle", "cattle", "cattle", "cattle", "cats",
"cats" , "cats" , "cats" , "cats" , "cats" , "cats"))
# ECOFF -------------------------------------------------------------------
expect_equal(
suppressMessages(as.sir(as.mic(2), "E. coli", "ampicillin", guideline = "EUCAST 2020", breakpoint_type = "ECOFF")),
as.sir("S")
)
# old method
expect_warning(as.sir(as.mic(2), "E. coli", "ampicillin", guideline = "EUCAST 2020", ecoff = TRUE))
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