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@@ -11,34 +11,40 @@ that also supports grouping with the `dplyr` package.
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## Usage
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``` r
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first_isolate(x = NULL, col_date = NULL, col_patient_id = NULL,
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col_mo = NULL, col_testcode = NULL, col_specimen = NULL,
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col_icu = NULL, col_keyantimicrobials = NULL, episode_days = 365,
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testcodes_exclude = NULL, icu_exclude = FALSE, specimen_group = NULL,
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type = "points", method = c("phenotype-based", "episode-based",
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"patient-based", "isolate-based"), ignore_I = TRUE, points_threshold = 2,
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info = interactive(), include_unknown = FALSE,
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include_untested_sir = TRUE, ...)
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first_isolate(
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x = NULL,
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col_date = NULL,
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col_patient_id = NULL,
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col_mo = NULL,
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col_testcode = NULL,
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col_specimen = NULL,
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col_icu = NULL,
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col_keyantimicrobials = NULL,
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episode_days = 365,
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testcodes_exclude = NULL,
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icu_exclude = FALSE,
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specimen_group = NULL,
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type = "points",
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method = c("phenotype-based", "episode-based", "patient-based", "isolate-based"),
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ignore_I = TRUE,
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points_threshold = 2,
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info = interactive(),
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include_unknown = FALSE,
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include_untested_sir = TRUE,
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...
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)
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filter_first_isolate(x = NULL, col_date = NULL, col_patient_id = NULL,
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col_mo = NULL, episode_days = 365, method = c("phenotype-based",
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"episode-based", "patient-based", "isolate-based"), ...)
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filter_first_isolate(
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x = NULL,
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col_date = NULL,
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col_patient_id = NULL,
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col_mo = NULL,
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episode_days = 365,
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method = c("phenotype-based", "episode-based", "patient-based", "isolate-based"),
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...
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)
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```
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## Source
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Methodology of these functions is strictly based on:
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- **M39 Analysis and Presentation of Cumulative Antimicrobial
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Susceptibility Test Data, 5th Edition**, 2022, *Clinical and
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Laboratory Standards Institute (CLSI)*.
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<https://clsi.org/standards/products/microbiology/documents/m39/>.
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- Hindler JF and Stelling J (2007). **Analysis and Presentation of
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Cumulative Antibiograms: A New Consensus Guideline from the Clinical
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and Laboratory Standards Institute.** Clinical Infectious Diseases,
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44(6), 867-873. [doi:10.1086/511864](https://doi.org/10.1086/511864)
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## Arguments
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- x:
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@@ -318,6 +324,20 @@ taking into account all antimicrobial test results. If no antimicrobial
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test results are available in the data set, only the episode-based
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method is applied at default.
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## References
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Methodology of these functions is strictly based on:
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- **M39 Analysis and Presentation of Cumulative Antimicrobial
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Susceptibility Test Data, 5th Edition**, 2022, *Clinical and
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Laboratory Standards Institute (CLSI)*.
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<https://clsi.org/standards/products/microbiology/documents/m39/>.
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- Hindler JF and Stelling J (2007). **Analysis and Presentation of
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Cumulative Antibiograms: A New Consensus Guideline from the Clinical
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and Laboratory Standards Institute.** Clinical Infectious Diseases,
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44(6), 867-873. [doi:10.1086/511864](https://doi.org/10.1086/511864)
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## See also
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[`key_antimicrobials()`](https://amr-for-r.org/reference/key_antimicrobials.md)
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