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@@ -247,12 +247,28 @@ disk diffusion diameters:
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interpretation, which defaults to the
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[clinical_breakpoints](https://amr-for-r.org/reference/clinical_breakpoints.md)
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data set. Changing this argument allows for using own interpretation
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guidelines. This argument must contain a data set that is equal in
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structure to the
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guidelines. This argument must have the same column names as the
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[clinical_breakpoints](https://amr-for-r.org/reference/clinical_breakpoints.md)
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data set (same column names and column types). Please note that the
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`guideline` argument will be ignored when `reference_data` is manually
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set.
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data set. Column types are coerced automatically where possible: the
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`mo` column is passed through
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[`as.mo()`](https://amr-for-r.org/reference/as.mo.md), the `ab` column
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through [`as.ab()`](https://amr-for-r.org/reference/as.ab.md), and
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plain character, numeric, or logical columns are cast to the expected
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type. When `reference_data` is manually set, the `guideline` argument
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is optional: if omitted (or if its value does not match any row in the
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custom data), all rows in `reference_data` are considered. If
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`guideline` is set to a value that exists in the `guideline` column of
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the custom data, only matching rows are used — useful when a single
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custom table contains multiple guidelines. For the R classification,
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the EUCAST convention is used by default: MIC values `> breakpoint_R`
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and disk diffusion values `< breakpoint_R` are classified as R, with
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values between `breakpoint_S` and `breakpoint_R` classified as I (or
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SDD). Only when using the standard
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[clinical_breakpoints](https://amr-for-r.org/reference/clinical_breakpoints.md)
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with a CLSI guideline are the closed-interval rules (`>= breakpoint_R`
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for MIC, `<= breakpoint_R` for disk) applied; custom `reference_data`
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always uses the open-interval (EUCAST) convention regardless of the
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guideline name.
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- substitute_missing_r_breakpoint:
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@@ -332,13 +348,16 @@ disk diffusion diameters:
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- parallel:
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A [logical](https://rdrr.io/r/base/logical.html) to indicate if
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parallel computing must be used, defaults to `FALSE`. This requires no
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additional packages, as the used `parallel` package is part of base R.
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On Windows and on R \< 4.0.0
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[`parallel::parLapply()`](https://rdrr.io/r/parallel/clusterApply.html)
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will be used, in all other cases the more efficient
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parallel computing must be used, defaults to `FALSE`. The `parallel`
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package is part of base R and no additional packages are required. On
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Unix/macOS with R \>= 4.0.0,
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[`parallel::mclapply()`](https://rdrr.io/r/parallel/mclapply.html)
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will be used.
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(fork-based) is used; on Windows and R \< 4.0.0,
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[`parallel::parLapply()`](https://rdrr.io/r/parallel/clusterApply.html)
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with a PSOCK cluster is used (requires the AMR package to be
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installed, not just loaded via `devtools::load_all()`). Parallelism
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distributes columns across cores; it is most beneficial when there are
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many antibiotic columns and a large number of rows.
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- max_cores:
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@@ -660,10 +679,10 @@ sir_interpretation_history()
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#> # A tibble: 4 × 18
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#> datetime index method ab_given mo_given host_given input_given
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#> <dttm> <int> <chr> <chr> <chr> <chr> <chr>
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#> 1 2026-04-25 12:45:43 1 MIC amoxicillin Escherich… human 8
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#> 2 2026-04-25 12:45:43 1 MIC cipro Escherich… human 0.256
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#> 3 2026-04-25 12:45:44 1 DISK tobra Escherich… human 16
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#> 4 2026-04-25 12:45:44 1 DISK genta Escherich… human 18
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#> 1 2026-04-25 14:25:30 1 MIC amoxicillin Escherich… human 8
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#> 2 2026-04-25 14:25:30 1 MIC cipro Escherich… human 0.256
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#> 3 2026-04-25 14:25:31 1 DISK tobra Escherich… human 16
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#> 4 2026-04-25 14:25:31 1 DISK genta Escherich… human 18
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#> # ℹ 11 more variables: ab <ab>, mo <mo>, host <chr>, input <chr>,
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#> # outcome <sir>, notes <chr>, guideline <chr>, ref_table <chr>, uti <lgl>,
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#> # breakpoint_S_R <chr>, site <chr>
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