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(v1.4.0.9029) grey background for backticks, like readr pkg

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dr. M.S. (Matthijs) Berends
2020-12-01 16:59:57 +01:00
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NEWS.md
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# AMR 1.4.0.9027
## <small>Last updated: 25 November 2020</small>
# AMR 1.4.0.9029
## <small>Last updated: 1 December 2020</small>
### New
* Function `is_new_episode()` to determine patient episodes which are not necessarily based on microorganisms. It also supports grouped variables with e.g. `mutate()`, `filter()` and `summarise()` of the `dplyr` package:
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group_by(patient_id, hospital_id) %>%
filter(is_new_episode(date, episode_days = 60))
```
* Functions `mo_is_gram_negative()` and `mo_is_gram_positive()` as wrappers around `mo_gramstain()`. They always return `TRUE` or `FALSE` (except when the input is `NA` or the MO code is `UNKNOWN`), thus always return `FALSE` for species outside the taxonomic kingdom of Bacteria. If you have the `dplyr` package installed, they can even determine the column with microorganisms themselves when used inside `dplyr` verbs:
* Functions `mo_is_gram_negative()` and `mo_is_gram_positive()` as wrappers around `mo_gramstain()`. They always return `TRUE` or `FALSE` (except when the input is `NA` or the MO code is `UNKNOWN`), thus always return `FALSE` for species outside the taxonomic kingdom of Bacteria. They can even determine the column with microorganisms themselves when used inside `dplyr` verbs:
```r
example_isolates %>%
filter(mo_is_gram_positive())