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(v2.1.1.9239) documentation
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@ -123,7 +123,7 @@ logistic_model
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#### 3. Building the Workflow
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We bundle the recipe and model together into a `workflow`, which organises the entire modeling process.
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We bundle the recipe and model together into a `workflow`, which organises the entire modelling process.
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```{r}
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# Combine the recipe and model into a workflow
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@ -253,7 +253,7 @@ data_time
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### **Defining the Workflow**
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We now define the modeling workflow, which consists of a preprocessing step, a model specification, and the fitting process.
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We now define the modelling workflow, which consists of a preprocessing step, a model specification, and the fitting process.
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#### 1. Preprocessing with a Recipe
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@ -144,6 +144,7 @@ microorganisms %>%
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print_df()
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```
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----
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## `antimicrobials`: Antibiotic and Antifungal Drugs
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@ -163,6 +164,7 @@ antimicrobials %>%
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print_df()
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```
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----
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## `clinical_breakpoints`: Interpretation from MIC values & disk diameters to SIR
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@ -181,6 +183,7 @@ clinical_breakpoints %>%
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print_df()
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```
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----
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## `microorganisms.groups`: Species Groups and Microbiological Complexes
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@ -197,6 +200,7 @@ microorganisms.groups %>%
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print_df()
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```
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----
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## `intrinsic_resistant`: Intrinsic Bacterial Resistance
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@ -221,6 +225,7 @@ intrinsic_resistant %>%
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print_df(rows = Inf)
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```
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----
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## `dosage`: Dosage Guidelines from EUCAST
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@ -237,6 +242,7 @@ dosage %>%
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print_df()
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```
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----
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## `example_isolates`: Example Data for Practice
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@ -253,6 +259,8 @@ example_isolates %>%
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print_df()
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```
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----
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## `example_isolates_unclean`: Example Data for Practice
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`r structure_txt(example_isolates_unclean)`
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@ -268,6 +276,7 @@ example_isolates_unclean %>%
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print_df()
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```
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----
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## `microorganisms.codes`: Common Laboratory Codes
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@ -284,6 +293,7 @@ microorganisms.codes %>%
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print_df()
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```
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----
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## `antivirals`: Antiviral Drugs
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