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https://github.com/msberends/AMR.git
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unit test fix
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@ -47,7 +47,7 @@ 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 = FALSE))
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}
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# we rely on "grouped_tbl" being a class of grouped tibbles, so implement a test that checks for this:
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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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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_true(AMR:::is_null_or_grouped_tbl(example_isolates %>% group_by(ward)))
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}
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@ -68,15 +68,15 @@ expect_true(ab_url("AMX") %like% "whocc.no")
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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[, 20:25])),
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colnames(set_ab_names(example_isolates[, 17:22])),
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c("cefoxitin", "cefotaxime", "ceftazidime", "ceftriaxone", "gentamicin", "tobramycin")
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)
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expect_identical(
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colnames(set_ab_names(example_isolates[, 20:25], language = "nl", snake_case = FALSE)),
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colnames(set_ab_names(example_isolates[, 17:22], language = "nl", snake_case = FALSE)),
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c("Cefoxitine", "Cefotaxim", "Ceftazidim", "Ceftriaxon", "Gentamicine", "Tobramycine")
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)
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expect_identical(
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colnames(set_ab_names(example_isolates[, 20:25], property = "atc")),
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colnames(set_ab_names(example_isolates[, 17:22], property = "atc")),
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c("J01DC01", "J01DD01", "J01DD02", "J01DD04", "J01GB03", "J01GB01")
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)
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@ -79,7 +79,7 @@ if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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combination = count_susceptible(CIP, GEN)
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) %>%
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pull(combination),
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c(253, 465, 192, 558)
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c(946, 428, 94)
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)
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# count_df
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@ -57,7 +57,6 @@ expect_identical(as.ab(antibiotics$name), antibiotics$ab)
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datasets <- data(package = "AMR", envir = asNamespace("AMR"))$results[, "Item", drop = TRUE]
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for (i in seq_len(length(datasets))) {
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dataset <- get(datasets[i], envir = asNamespace("AMR"))
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expect_identical(class(dataset), "data.frame")
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expect_identical(AMR:::dataset_UTF8_to_ASCII(dataset), dataset, info = datasets[i])
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}
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@ -75,7 +75,7 @@ expect_equal(
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),
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na.rm = TRUE
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),
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941
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942
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)
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# set 1500 random observations to be of specimen type 'Urine'
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@ -160,7 +160,7 @@ if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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# support for WHONET
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expect_message(example_isolates %>%
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select(-patient_id) %>%
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select(-patient) %>%
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mutate(
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`First name` = "test",
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`Last name` = "test",
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@ -84,7 +84,7 @@ if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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combination_n = n_rsi(CIP, GEN)
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) %>%
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pull(combination_n),
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c(305, 617, 241, 711)
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c(1181, 577, 116)
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)
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# proportion_df
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