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(v2.1.1.9239) documentation

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2025-04-14 09:40:35 +02:00
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@ -123,7 +123,7 @@ logistic_model
#### 3. Building the Workflow
We bundle the recipe and model together into a `workflow`, which organises the entire modeling process.
We bundle the recipe and model together into a `workflow`, which organises the entire modelling process.
```{r}
# Combine the recipe and model into a workflow
@ -253,7 +253,7 @@ data_time
### **Defining the Workflow**
We now define the modeling workflow, which consists of a preprocessing step, a model specification, and the fitting process.
We now define the modelling workflow, which consists of a preprocessing step, a model specification, and the fitting process.
#### 1. Preprocessing with a Recipe

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@ -144,6 +144,7 @@ microorganisms %>%
print_df()
```
----
## `antimicrobials`: Antibiotic and Antifungal Drugs
@ -163,6 +164,7 @@ antimicrobials %>%
print_df()
```
----
## `clinical_breakpoints`: Interpretation from MIC values & disk diameters to SIR
@ -181,6 +183,7 @@ clinical_breakpoints %>%
print_df()
```
----
## `microorganisms.groups`: Species Groups and Microbiological Complexes
@ -197,6 +200,7 @@ microorganisms.groups %>%
print_df()
```
----
## `intrinsic_resistant`: Intrinsic Bacterial Resistance
@ -221,6 +225,7 @@ intrinsic_resistant %>%
print_df(rows = Inf)
```
----
## `dosage`: Dosage Guidelines from EUCAST
@ -237,6 +242,7 @@ dosage %>%
print_df()
```
----
## `example_isolates`: Example Data for Practice
@ -253,6 +259,8 @@ example_isolates %>%
print_df()
```
----
## `example_isolates_unclean`: Example Data for Practice
`r structure_txt(example_isolates_unclean)`
@ -268,6 +276,7 @@ example_isolates_unclean %>%
print_df()
```
----
## `microorganisms.codes`: Common Laboratory Codes
@ -284,6 +293,7 @@ microorganisms.codes %>%
print_df()
```
----
## `antivirals`: Antiviral Drugs