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@@ -170,7 +170,7 @@ not_intrinsic_resistant(only_sir_columns = FALSE, col_mo = NULL,
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- version_expected_phenotypes:
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The version number to use for the EUCAST Expected Phenotypes. Can be
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"1.2".
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.val 1.2.
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## Value
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@@ -887,7 +887,8 @@ subset(example_isolates, any(carbapenems() == "R"))
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# filter on any or all results in the carbapenem columns (i.e., IPM, MEM):
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example_isolates[any(carbapenems()), ]
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#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)
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#> ℹ Filtering any of columns 'IPM' and 'MEM' to contain value "S", "I" or "R"
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#> ℹ Filtering any of columns IPM and MEM to only contain values "S", "SDD", "I",
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#> "R", "NI", "WT", "NWT", or "NS"
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#> # A tibble: 962 × 46
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#> date patient age gender ward mo PEN OXA FLC AMX
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#> <date> <chr> <dbl> <chr> <chr> <mo> <sir> <sir> <sir> <sir>
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@@ -910,7 +911,8 @@ example_isolates[any(carbapenems()), ]
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#> # IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …
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example_isolates[all(carbapenems()), ]
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#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)
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#> ℹ Filtering all of columns 'IPM' and 'MEM' to contain value "S", "I" or "R"
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#> ℹ Filtering all of columns IPM and MEM to only contain values "S", "SDD", "I",
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#> "R", "NI", "WT", "NWT", or "NS"
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#> # A tibble: 756 × 46
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#> date patient age gender ward mo PEN OXA FLC AMX
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#> <date> <chr> <dbl> <chr> <chr> <mo> <sir> <sir> <sir> <sir>
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