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new tibble export
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@ -45,16 +45,16 @@ expect_false(any(is.na(microorganisms.codes$mo)))
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expect_true(all(dosage$ab %in% antibiotics$ab))
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expect_true(all(dosage$name %in% antibiotics$name))
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# check valid disks/MICs
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expect_false(any(is.na(as.mic(rsi_translation[which(rsi_translation$method == "MIC"), "breakpoint_S"]))))
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expect_false(any(is.na(as.mic(rsi_translation[which(rsi_translation$method == "MIC"), "breakpoint_R"]))))
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expect_false(any(is.na(as.disk(rsi_translation[which(rsi_translation$method == "DISK"), "breakpoint_S"]))))
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expect_false(any(is.na(as.disk(rsi_translation[which(rsi_translation$method == "DISK"), "breakpoint_R"]))))
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expect_false(any(is.na(as.mic(rsi_translation[which(rsi_translation$method == "MIC"), "breakpoint_S", drop = TRUE]))))
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expect_false(any(is.na(as.mic(rsi_translation[which(rsi_translation$method == "MIC"), "breakpoint_R", drop = TRUE]))))
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expect_false(any(is.na(as.disk(rsi_translation[which(rsi_translation$method == "DISK"), "breakpoint_S", drop = TRUE]))))
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expect_false(any(is.na(as.disk(rsi_translation[which(rsi_translation$method == "DISK"), "breakpoint_R", drop = TRUE]))))
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# antibiotic names must always be coercible to their original AB code
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expect_identical(as.ab(antibiotics$name), antibiotics$ab)
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# there should be no diacritics (i.e. non ASCII) characters in the datasets (CRAN policy)
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datasets <- data(package = "AMR", envir = asNamespace("AMR"))$results[, "Item"]
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datasets <- data(package = "AMR", envir = asNamespace("AMR"))$results[, "Item", drop = TRUE]
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for (i in seq_len(length(datasets))) {
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dataset <- get(datasets[i], envir = asNamespace("AMR"))
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expect_identical(class(dataset), "data.frame")
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@ -62,8 +62,8 @@ for (i in seq_len(length(datasets))) {
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}
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df <- AMR:::MO_lookup
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expect_true(nrow(df[which(df$prevalence == 1), ]) < nrow(df[which(df$prevalence == 2), ]))
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expect_true(nrow(df[which(df$prevalence == 2), ]) < nrow(df[which(df$prevalence == 3), ]))
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expect_true(nrow(df[which(df$prevalence == 1), , drop = FALSE]) < nrow(df[which(df$prevalence == 2), , drop = FALSE]))
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expect_true(nrow(df[which(df$prevalence == 2), , drop = FALSE]) < nrow(df[which(df$prevalence == 3), , drop = FALSE]))
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expect_true(all(c("mo", "fullname",
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"kingdom", "phylum", "class", "order", "family", "genus", "species", "subspecies",
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"rank", "ref", "species_id", "source", "prevalence", "snomed",
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