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https://github.com/msberends/AMR.git
synced 2025-07-09 00:02:38 +02:00
(v1.3.0.9030) matching score update
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@ -37,7 +37,7 @@ test_that("counts work", {
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expect_equal(suppressWarnings(count_S(example_isolates$AMX)) + count_I(example_isolates$AMX),
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count_SI(example_isolates$AMX))
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library(dplyr)
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library(dplyr, warn.conflicts = FALSE)
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expect_equal(example_isolates %>% count_susceptible(AMC), 1433)
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expect_equal(example_isolates %>% count_susceptible(AMC, GEN, only_all_tested = TRUE), 1687)
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expect_equal(example_isolates %>% count_susceptible(AMC, GEN, only_all_tested = FALSE), 1764)
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@ -37,7 +37,7 @@ test_that("disk works", {
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expect_warning(as.disk("INVALID VALUE"))
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expect_output(print(as.disk(12)))
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library(dplyr)
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library(dplyr, warn.conflicts = FALSE)
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expect_output(print(tibble(d = as.disk(12))))
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})
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@ -72,7 +72,7 @@ test_that("EUCAST rules work", {
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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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library(dplyr, warn.conflicts = FALSE)
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expect_equal(suppressWarnings(
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example_isolates %>%
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mutate(TIC = as.rsi("R"),
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@ -85,7 +85,7 @@ test_that("EUCAST rules work", {
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as.character()),
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"R")
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# Azithromicin and Clarythromycin must be equal to Erythromycin
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# Azithromycin and Clarythromycin must be equal to Erythromycin
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a <- eucast_rules(data.frame(mo = example_isolates$mo,
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ERY = example_isolates$ERY,
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AZM = as.rsi("R"),
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@ -27,7 +27,7 @@ test_that("ggplot_rsi works", {
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skip_if_not_installed("ggplot2")
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library(dplyr)
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library(dplyr, warn.conflicts = FALSE)
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library(ggplot2)
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pdf(NULL) # prevent Rplots.pdf being created
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@ -57,7 +57,7 @@ test_that("joins work", {
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expect_warning(right_join_microorganisms("B_ESCHR_COLI"))
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expect_warning(full_join_microorganisms("B_ESCHR_COLI"))
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library(dplyr)
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library(dplyr, warn.conflicts = FALSE)
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x <- tibble(bact = as.mo("E.coli"))
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expect_warning(left_join_microorganisms(x %>% group_by(bact), "bact"))
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@ -32,6 +32,6 @@ test_that("keyantibiotics work", {
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expect_true(key_antibiotics_equal(".SS", "SI.", ignore_I = TRUE))
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expect_false(key_antibiotics_equal(".SS", "SI.", ignore_I = FALSE))
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library(dplyr)
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library(dplyr, warn.conflicts = FALSE)
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expect_warning(key_antibiotics(example_isolates %>% slice(rep(1, 10))))
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})
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@ -25,7 +25,7 @@ test_that("as.mo works", {
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skip_on_cran()
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library(dplyr)
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library(dplyr, warn.conflicts = FALSE)
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MOs <- microorganisms %>% filter(!is.na(mo), nchar(mo) > 3)
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expect_identical(as.character(MOs$mo), as.character(as.mo(MOs$mo)))
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@ -40,7 +40,7 @@ test_that("prediction of rsi works", {
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expect_silent(ggplot_rsi_predict(x))
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expect_error(ggplot_rsi_predict(example_isolates))
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library(dplyr)
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library(dplyr, warn.conflicts = FALSE)
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expect_output(rsi_predict(x = filter(example_isolates, mo == "B_ESCHR_COLI"),
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model = "binomial",
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@ -54,7 +54,7 @@ test_that("rsi works", {
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expect_identical(as.logical(lapply(example_isolates, is.rsi.eligible)),
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rep(FALSE, length(example_isolates)))
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library(dplyr)
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library(dplyr, warn.conflicts = FALSE)
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# 40 rsi columns
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expect_equal(example_isolates %>%
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mutate_at(vars(PEN:RIF), as.character) %>%
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