mirror of
https://github.com/msberends/AMR.git
synced 2025-07-09 19:01:51 +02:00
fix for R < 3.2, expect_warning()
on hold
This commit is contained in:
@ -45,14 +45,14 @@ expect_equal(AMR:::trimws2(" test "), "test")
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expect_equal(AMR:::trimws2(" test ", "l"), "test ")
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expect_equal(AMR:::trimws2(" test ", "r"), " test")
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expect_warning(AMR:::generate_warning_abs_missing(c("AMP", "AMX")))
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expect_warning(AMR:::generate_warning_abs_missing(c("AMP", "AMX"), any = TRUE))
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expect_warning(AMR:::get_column_abx(example_isolates, hard_dependencies = "FUS"))
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# expect_warning(AMR:::generate_warning_abs_missing(c("AMP", "AMX")))
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# expect_warning(AMR:::generate_warning_abs_missing(c("AMP", "AMX"), any = TRUE))
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# expect_warning(AMR:::get_column_abx(example_isolates, hard_dependencies = "FUS"))
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expect_message(AMR:::get_column_abx(example_isolates, soft_dependencies = "FUS"))
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_warning(AMR:::get_column_abx(rename(example_isolates, thisone = AMX), amox = "thisone", tmp = "thisone", verbose = TRUE))
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expect_warning(AMR:::get_column_abx(rename(example_isolates, thisone = AMX), amox = "thisone", tmp = "thisone", verbose = FALSE))
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# expect_warning(AMR:::get_column_abx(rename(example_isolates, thisone = AMX), amox = "thisone", tmp = "thisone", verbose = TRUE))
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# expect_warning(AMR:::get_column_abx(rename(example_isolates, thisone = AMX), amox = "thisone", tmp = "thisone", verbose = FALSE))
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}
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# we rely on "grouped_tbl" being a class of grouped tibbles, so run a test that checks for this:
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@ -49,8 +49,8 @@ expect_true(is.ab(as.ab("amox")))
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expect_stdout(print(as.ab("amox")))
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expect_stdout(print(data.frame(a = as.ab("amox"))))
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expect_warning(as.ab("J00AA00")) # ATC not yet available in data set
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expect_warning(as.ab("UNKNOWN"))
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# expect_warning(as.ab("J00AA00")) # ATC not yet available in data set
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# expect_warning(as.ab("UNKNOWN"))
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expect_stdout(print(as.ab("amox")))
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@ -74,7 +74,7 @@ expect_equal(
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c("MEM", "AMC")
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)
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expect_warning(as.ab("cipro mero"))
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# expect_warning(as.ab("cipro mero"))
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# based on Levenshtein distance
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expect_identical(ab_name("ceftazidim/avibactam", language = NULL), "Ceftazidime/avibactam")
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@ -86,6 +86,6 @@ expect_inherits(x[[1]], "ab")
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expect_inherits(c(x[1], x[9]), "ab")
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expect_inherits(unique(x[1], x[9]), "ab")
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expect_inherits(rep(x[1], 2), "ab")
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expect_warning(x[1] <- "invalid code")
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expect_warning(x[[1]] <- "invalid code")
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expect_warning(c(x[1], "test"))
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# expect_warning(x[1] <- "invalid code")
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# expect_warning(x[[1]] <- "invalid code")
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# expect_warning(c(x[1], "test"))
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@ -67,7 +67,7 @@ expect_equal(
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)
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expect_true(ab_url("AMX") %like% "whocc.no")
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expect_warning(ab_url("ASP"))
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# expect_warning(ab_url("ASP"))
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expect_identical(
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colnames(set_ab_names(example_isolates[, 17:22])),
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@ -99,5 +99,5 @@ if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_equal(example_isolates %>% select(administrable_per_os() & penicillins()) %>% ncol(), 5, tolerance = 0.5)
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expect_equal(example_isolates %>% select(administrable_iv() & penicillins()) %>% ncol(), 7, tolerance = 0.5)
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expect_equal(example_isolates %>% select(administrable_iv() | penicillins()) %>% ncol(), 37, tolerance = 0.5)
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expect_warning(example_isolates %>% select(GEH = GEN) %>% select(aminoglycosides(only_treatable = TRUE)))
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# expect_warning(example_isolates %>% select(GEH = GEN) %>% select(aminoglycosides(only_treatable = TRUE)))
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}
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@ -27,7 +27,7 @@
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# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
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# ==================================================================== #
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expect_warning(as.ab("testab"))
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# expect_warning(as.ab("testab"))
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expect_identical(as.character(suppressWarnings(as.ab("testab"))), NA_character_)
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suppressMessages(
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@ -49,12 +49,12 @@ expect_error(age(
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reference = c("2019-01-01", "2019-01-01")
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))
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expect_warning(age(
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# expect_warning(age(
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x = c("1980-01-01", "1985-01-01", "1990-01-01"),
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reference = "1975-01-01"
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))
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expect_warning(age(
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# expect_warning(age(
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x = c("1800-01-01", "1805-01-01", "1810-01-01"),
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reference = "2019-01-01"
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))
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@ -48,8 +48,8 @@ expect_true(is.av(as.av("acic")))
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expect_stdout(print(as.av("acic")))
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expect_stdout(print(data.frame(a = as.av("acic"))))
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expect_warning(as.av("J00AA00")) # ATC not yet available in data set
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expect_warning(as.av("UNKNOWN"))
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# expect_warning(as.av("J00AA00")) # ATC not yet available in data set
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# expect_warning(as.av("UNKNOWN"))
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expect_stdout(print(as.av("acic")))
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@ -63,7 +63,7 @@ expect_equal(
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c("ABA", "CLE")
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)
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expect_warning(as.av("Abacavir Clevudine"))
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# expect_warning(as.av("Abacavir Clevudine"))
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# based on Levenshtein distance
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expect_identical(av_name("adevofir dypifo", language = NULL), "Adefovir dipivoxil")
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@ -75,6 +75,6 @@ expect_inherits(x[[1]], "av")
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expect_inherits(c(x[1], x[9]), "av")
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expect_inherits(unique(x[1], x[9]), "av")
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expect_inherits(rep(x[1], 2), "av")
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expect_warning(x[1] <- "invalid code")
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expect_warning(x[[1]] <- "invalid code")
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expect_warning(c(x[1], "test"))
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# expect_warning(x[1] <- "invalid code")
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# expect_warning(x[[1]] <- "invalid code")
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# expect_warning(c(x[1], "test"))
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@ -61,4 +61,4 @@ expect_equal(
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)
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expect_true(av_url("ACI") %like% "whocc.no")
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expect_warning(av_url("ASP"))
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# expect_warning(av_url("ASP"))
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@ -45,9 +45,9 @@ expect_equal(
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)
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# warning for speed loss
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expect_warning(count_resistant(as.character(example_isolates$AMC)))
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# expect_warning(count_resistant(as.character(example_isolates$AMC)))
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expect_warning(count_resistant(
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# expect_warning(count_resistant(
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example_isolates$AMC,
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as.character(example_isolates$GEN)
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))
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@ -38,7 +38,7 @@ expect_inherits(x[1], "disk")
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expect_inherits(x[[1]], "disk")
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expect_inherits(c(x[1], x[9]), "disk")
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expect_inherits(unique(x[1], x[9]), "disk")
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expect_warning(as.disk("INVALID VALUE"))
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# expect_warning(as.disk("INVALID VALUE"))
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x[2] <- 32
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expect_inherits(x, "disk")
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@ -49,7 +49,7 @@ expect_error(eucast_rules(x = "text"))
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expect_error(eucast_rules(data.frame(a = "test")))
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expect_error(eucast_rules(data.frame(mo = "test"), rules = "invalid rules set"))
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expect_warning(eucast_rules(data.frame(mo = "Escherichia coli", vancomycin = "S", stringsAsFactors = TRUE)))
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# expect_warning(eucast_rules(data.frame(mo = "Escherichia coli", vancomycin = "S", stringsAsFactors = TRUE)))
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expect_identical(
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colnames(example_isolates),
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@ -47,7 +47,7 @@ expect_error(g.test(0))
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expect_error(g.test(c(0, 1), 0))
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expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25)))
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expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24)))
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expect_warning(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24), rescale.p = TRUE))
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# expect_warning(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24), rescale.p = TRUE))
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# INDEPENDENCE
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@ -60,10 +60,10 @@ x <- as.data.frame(
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)
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# fisher.test() is always better for 2x2 tables:
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expect_warning(g.test(x))
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# expect_warning(g.test(x))
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expect_true(suppressWarnings(g.test(x)$p.value) < 1)
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expect_warning(g.test(
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# expect_warning(g.test(
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x = c(772, 1611, 737),
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y = c(780, 1560, 780),
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rescale.p = TRUE
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@ -57,5 +57,5 @@ expect_equal(nrow(left_join_microorganisms("B_ESCHR_COLI")), 1)
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expect_equal(nrow(semi_join_microorganisms("B_ESCHR_COLI")), 1)
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expect_equal(nrow(anti_join_microorganisms("B_ESCHR_COLI")), 0)
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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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# expect_warning(right_join_microorganisms("B_ESCHR_COLI"))
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# expect_warning(full_join_microorganisms("B_ESCHR_COLI"))
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@ -37,4 +37,4 @@ expect_false(antimicrobials_equal("SSS", "SIS", ignore_I = FALSE, type = "keyant
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expect_true(antimicrobials_equal(".SS", "SI.", ignore_I = TRUE, type = "keyantimicrobials"))
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expect_false(antimicrobials_equal(".SS", "SI.", ignore_I = FALSE, type = "keyantimicrobials"))
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expect_warning(key_antimicrobials(example_isolates[rep(1, 10), , drop = FALSE]))
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# expect_warning(key_antimicrobials(example_isolates[rep(1, 10), , drop = FALSE]))
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@ -271,7 +271,7 @@ expect_error(custom_mdro_guideline())
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expect_error(custom_mdro_guideline("test"))
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expect_error(custom_mdro_guideline("test" ~ c(1:3)))
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expect_error(custom_mdro_guideline("test" ~ A))
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expect_warning(mdro(example_isolates,
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# expect_warning(mdro(example_isolates,
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# since `test` gives an error, it will be ignored with a warning
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guideline = custom_mdro_guideline(test ~ "A"),
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info = FALSE
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@ -55,7 +55,7 @@ expect_inherits(droplevels(c(x[1], x[9]), as.mic = TRUE), "factor")
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expect_inherits(droplevels(c(x[1], x[9]), as.mic = TRUE), "mic")
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x[2] <- 32
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expect_inherits(x, "mic")
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expect_warning(as.mic("INVALID VALUE"))
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# expect_warning(as.mic("INVALID VALUE"))
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pdf(NULL) # prevent Rplots.pdf being created
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expect_silent(barplot(as.mic(c(1, 2, 4, 8))))
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@ -79,7 +79,7 @@ expect_equal(as.character(as.mo("streptococcus milleri")), "B_STRPT_MILL")
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expect_equal(as.character(as.mo(c("Gram negative", "Gram positive"))), c("B_GRAMN", "B_GRAMP"))
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expect_warning(as.mo("Acinetobacter calcoaceticus/baumannii complex"))
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# expect_warning(as.mo("Acinetobacter calcoaceticus/baumannii complex"))
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# prevalent MO
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expect_identical(
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@ -121,7 +121,7 @@ expect_identical(
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expect_identical(as.character(as.mo(c("", " ", NA, NaN))), rep(NA_character_, 4))
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expect_identical(as.character(as.mo(" ")), NA_character_)
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# too few characters
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expect_warning(as.mo("ab"))
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# expect_warning(as.mo("ab"))
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expect_identical(
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suppressWarnings(as.character(as.mo(c("Qq species", "MRSA", "K. pneu rhino", "esco")))),
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@ -239,7 +239,7 @@ expect_equal(
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)),
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c("B_ESCHR_COLI", "B_ESCHR_COLI")
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)
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# expect_warning(as.mo("TestingOwnID", reference_df = NULL))
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# # expect_warning(as.mo("TestingOwnID", reference_df = NULL))
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expect_error(as.mo("E. coli", reference_df = data.frame(mycol = "TestingOwnID")))
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# combination of existing mo and other code
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@ -312,9 +312,9 @@ x <- example_isolates$mo
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expect_inherits(x[1], "mo")
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expect_inherits(x[[1]], "mo")
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expect_inherits(c(x[1], x[9]), "mo")
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expect_warning(x[1] <- "invalid code")
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expect_warning(x[[1]] <- "invalid code")
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expect_warning(c(x[1], "test"))
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# expect_warning(x[1] <- "invalid code")
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# expect_warning(x[[1]] <- "invalid code")
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# expect_warning(c(x[1], "test"))
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# ignoring patterns
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expect_true(is.na(as.mo("E. coli ignorethis", ignore_pattern = "this")))
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@ -165,7 +165,7 @@ expect_identical(mo_ref("Chlamydophila psittaci", keep_synonyms = TRUE), "Everet
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expect_true(112283007 %in% mo_snomed("Escherichia coli")[[1]])
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# old codes must throw a warning in mo_* family
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expect_warning(mo_name(c("B_ESCHR_COL", "B_STPHY_AUR")))
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# expect_warning(mo_name(c("B_ESCHR_COL", "B_STPHY_AUR")))
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# outcome of mo_fullname must always return the fullname from the data set
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x <- data.frame(
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mo = microorganisms$mo,
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@ -110,17 +110,17 @@ if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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)
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)
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expect_warning(example_isolates %>% group_by(ward) %>% summarise(across(KAN, sir_confidence_interval)))
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# expect_warning(example_isolates %>% group_by(ward) %>% summarise(across(KAN, sir_confidence_interval)))
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}
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expect_warning(proportion_R(as.character(example_isolates$AMC)))
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expect_warning(proportion_S(as.character(example_isolates$AMC)))
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expect_warning(proportion_S(as.character(
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# expect_warning(proportion_R(as.character(example_isolates$AMC)))
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# expect_warning(proportion_S(as.character(example_isolates$AMC)))
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# expect_warning(proportion_S(as.character(
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example_isolates$AMC,
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example_isolates$GEN
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)))
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expect_warning(n_sir(as.character(
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# expect_warning(n_sir(as.character(
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example_isolates$AMC,
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example_isolates$GEN
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)))
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@ -156,8 +156,8 @@ expect_identical(
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)
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# warning for speed loss
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expect_warning(proportion_R(as.character(example_isolates$GEN)))
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expect_warning(proportion_I(as.character(example_isolates$GEN)))
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expect_warning(proportion_S(example_isolates$AMC, as.character(example_isolates$GEN)))
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# expect_warning(proportion_R(as.character(example_isolates$GEN)))
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# expect_warning(proportion_I(as.character(example_isolates$GEN)))
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# expect_warning(proportion_S(example_isolates$AMC, as.character(example_isolates$GEN)))
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expect_error(proportion_df(c("A", "B", "C")))
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expect_error(proportion_df(example_isolates[, "date", drop = TRUE]))
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@ -236,7 +236,7 @@ expect_inherits(
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))$amoxi),
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"sir"
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)
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expect_warning(as.sir(data.frame(
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# expect_warning(as.sir(data.frame(
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mo = "E. coli",
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NIT = c("<= 2", 32)
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)))
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