AMR/data-raw/antibiograms.Rmd

---
title: "Generating antibiograms with the AMR package"
author: "AMR package developers"
date: "`r Sys.Date()`"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, message = FALSE)
library(AMR)
```

This is an example R Markdown file to show the use of `antibiogram()` of the AMR package.

For starters, this is what our `example_isolates` data set looks like:

```{r}
example_isolates
```


### Traditional Antibiogram

```{r trad}
print(
  antibiogram(example_isolates,
              antibiotics = c(aminoglycosides(), carbapenems()))
)
```

### Combined Antibiogram

```{r comb}
print(
  antibiogram(example_isolates,
              antibiotics = c("TZP", "TZP+TOB", "TZP+GEN"))
)
```

### Syndromic Antibiogram

```{r synd}
print(
  antibiogram(example_isolates,
              antibiotics = c(aminoglycosides(), carbapenems()),
              syndromic_group = "ward")
)
```

### Weighted-Incidence Syndromic Combination Antibiogram (WISCA)

```{r wisca}
print(
  antibiogram(example_isolates,
              antibiotics = c("AMC", "AMC+CIP", "TZP", "TZP+TOB"),
              mo_transform = "gramstain",
              minimum = 10, # this should be >= 30, but now just as example
              syndromic_group = ifelse(example_isolates$age >= 65 &
                                         example_isolates$gender == "M",
                                       "WISCA Group 1", "WISCA Group 2"))
)
```