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Add add_if_missing parameter to control NA handling in interpretive rules (#264)

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Matthijs Berends
2026-04-21 21:53:43 +02:00
committed by GitHub
parent fb8758f36b
commit 8ff5d4472a
46 changed files with 1232 additions and 1016 deletions
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18
vignettes/WISCA.Rmd
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@@ -147,31 +147,35 @@ data$syndrome <- ifelse(data$mo %like% "coli", "UTI", "No UTI")
```{r}
wisca(data,
antimicrobials = c("AMC", "CIP", "GEN"))
antimicrobials = c("AMC", "CIP", "GEN")
)
```
### Use combination regimens
```{r}
wisca(data,
antimicrobials = c("AMC", "AMC + CIP", "AMC + GEN"))
antimicrobials = c("AMC", "AMC + CIP", "AMC + GEN")
)
```
### Stratify by syndrome
```{r}
wisca(data,
antimicrobials = c("AMC", "AMC + CIP", "AMC + GEN"),
syndromic_group = "syndrome")
antimicrobials = c("AMC", "AMC + CIP", "AMC + GEN"),
syndromic_group = "syndrome"
)
```
The `AMR` package is available in `r length(AMR:::LANGUAGES_SUPPORTED)` languages, which can all be used for the `wisca()` function too:
```{r}
wisca(data,
antimicrobials = c("AMC", "AMC + CIP", "AMC + GEN"),
syndromic_group = gsub("UTI", "UCI", data$syndrome),
language = "Spanish")
antimicrobials = c("AMC", "AMC + CIP", "AMC + GEN"),
syndromic_group = gsub("UTI", "UCI", data$syndrome),
language = "Spanish"
)
```