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@@ -188,15 +188,15 @@ calculate microbial resistance and susceptibility.
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# base R ------------------------------------------------------------
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count_resistant(example_isolates$AMX) # counts "R"
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#> ℹ `?count_resistant()` assumes the EUCAST guideline and thus considers the 'I'
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#> ℹ `count_resistant()` assumes the EUCAST guideline and thus considers the 'I'
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#> category susceptible. Set the `guideline` argument or the `AMR_guideline`
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#> option to either "CLSI" or "EUCAST", see AMR-options.
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#> option to either "CLSI" or "EUCAST", see `?AMR-options`.
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#> ℹ This message will be shown once per session.
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#> [1] 804
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count_susceptible(example_isolates$AMX) # counts "S" and "I"
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#> ℹ `?count_susceptible()` assumes the EUCAST guideline and thus considers the
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#> 'I' category susceptible. Set the `guideline` argument or the `AMR_guideline`
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#> option to either "CLSI" or "EUCAST", see AMR-options.
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#> ℹ `count_susceptible()` assumes the EUCAST guideline and thus considers the 'I'
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#> category susceptible. Set the `guideline` argument or the `AMR_guideline`
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#> option to either "CLSI" or "EUCAST", see `?AMR-options`.
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#> ℹ This message will be shown once per session.
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#> [1] 546
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count_all(example_isolates$AMX) # counts "S", "I" and "R"
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@@ -227,9 +227,9 @@ n_sir(example_isolates$AMX)
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count_susceptible(example_isolates$AMX)
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#> [1] 546
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susceptibility(example_isolates$AMX) * n_sir(example_isolates$AMX)
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#> ℹ `?susceptibility()` assumes the EUCAST guideline and thus considers the 'I'
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#> ℹ `susceptibility()` assumes the EUCAST guideline and thus considers the 'I'
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#> category susceptible. Set the `guideline` argument or the `AMR_guideline`
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#> option to either "CLSI" or "EUCAST", see AMR-options.
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#> option to either "CLSI" or "EUCAST", see `?AMR-options`.
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#> ℹ This message will be shown once per session.
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#> [1] 546
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@@ -276,8 +276,8 @@ if (require("dplyr")) {
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group_by(ward) %>%
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count_df(translate = FALSE)
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}
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#> ℹ For `?aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin),
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#> AMK (amikacin), and KAN (kanamycin)
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#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK
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#> (amikacin), and KAN (kanamycin)
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#> # A tibble: 12 × 4
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#> ward antibiotic interpretation value
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#> <chr> <chr> <ord> <int>
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