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(v1.2.0.9035) as.mo() speed improvement
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NEWS.md
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NEWS.md
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# AMR 1.2.0.9034
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## <small>Last updated: 13-Jul-2020</small>
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# AMR 1.2.0.9035
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## <small>Last updated: 22 July 2020</small>
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### New
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* Function `ab_from_text()` to retrieve antimicrobial drug names, doses and forms of administration from clinical texts in e.g. health care records, which also corrects for misspelling since it uses `as.ab()` internally
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* Added Monuril as trade name for fosfomycin
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### Changed
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* Big speed improvement for using any function on microorganism codes from earlier package versions (prior to `AMR` v1.2.0), such as `as.mo()`, `mo_name()`, `first_isolate()`, `eucast_rules()`, `mdro()`, etc.
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As a consequence, very old microbial codes (from `AMR` v0.5.0 and lower) **are not supported anymore**. Use `as.mo()` on your microorganism names or codes to transform them to current abbreviations used in this package.
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* Improvements for `susceptibility()` and `resistance()` and all `count_*()`, `proportion_*()` functions:
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* 95% speed improvement (!) by using other base R functions for calculation
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* 95% speed improvement by using other base R functions for calculation
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* Using unexisting columns wil now return an error instead of dropping them silently
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* Using variables for column names (as well as selectors like `dplyr::all_of()`) now works again
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* Improvements for `as.ab()`:
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* Fixed a bug for using grouped versions of `rsi_df()`, `proportion_df()` and `count_df()`, and fixed a bug where not all different antimicrobial results were added as rows
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* Improved auto-determination for columns of types `<mo>` and `<Date>`
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* Fixed a bug in `bug_drug_combinations()` for when only one antibiotic was in the input data
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* Changed the summary for class `<mo>`, to highlight the %SI vs. %R
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* Changed the summary for class `<rsi>`, to highlight the %SI vs. %R
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* Improved error handling, giving more useful info when functions return an error
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* Any progress bar will now only show in interactive mode (i.e. not in R Markdown)
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* Speed improvement for `mdro()` and `filter_ab_class()`
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