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(v2.1.1.9133) (v2.1.1.9132) unit test, final fixes
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@ -173,9 +173,10 @@ reference:
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desc: >
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Use these function for the analysis part. You can use `susceptibility()` or `resistance()` on any antibiotic column.
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With `antibiogram()`, you can generate a traditional, combined, syndromic, or weighted-incidence syndromic combination
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antibiogram(WISCA). This function also comes with support for R Markdown and Quarto.
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antibiogram (WISCA). This function also comes with support for R Markdown and Quarto.
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Be sure to first select the isolates that are appropiate for analysis, by using `first_isolate()` or `is_new_episode()`.
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You can also filter your data on certain resistance in certain antibiotic classes (`carbapenems()`, `aminoglycosides()`), or determine multi-drug resistant microorganisms (MDRO, `mdro()`).
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You can also filter your data on certain resistance in certain antibiotic classes (`carbapenems()`, `aminoglycosides()`),
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or determine multi-drug resistant microorganisms (MDRO, `mdro()`).
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contents:
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- "`antibiogram`"
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- "`proportion`"
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@ -184,9 +185,9 @@ reference:
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- "`first_isolate`"
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- "`key_antimicrobials`"
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- "`mdro`"
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- "`count`"
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- "`bug_drug_combinations`"
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- "`antimicrobial_class_selectors`"
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- "`top_n_microorganisms`"
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- "`mean_amr_distance`"
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- "`resistance_predict`"
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- "`guess_ab_col`"
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