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(v0.9.0.9003) as.mo() speedup for fullnames

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dr. M.S. (Matthijs) Berends
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> *18 October 2019*
> **METHODS PAPER PREPRINTED**
> A methods paper about this package has been preprinted at bioRxiv. It was updated on 8 November 2019. Please click [here for the publishers page](https://doi.org/10.1101/810622).
> A methods paper about this package has been preprinted at bioRxiv (DOI: 10.1101/810622). It was **updated on 18 December 2019** and in parallel sent to a journal. Please click [here for the paper on bioRxiv's publishers page](https://doi.org/10.1101/810622).
### What is `AMR` (for R)?
*(<help title="Too Long, Didn't Read">TLDR</help> - to find out how to conduct AMR analysis, please [continue reading here to get started](./articles/AMR.html).*
`AMR` is a free and open-source [R package](https://www.r-project.org) to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. **Our aim is to supply a standard** for clean and reproducible antimicrobial resistance data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting.
`AMR` is a free and open-source [R package](https://www.r-project.org) to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. **Our aim is to provide a standard** for clean and reproducible antimicrobial resistance data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting.
After installing this package, R knows [**~70,000 distinct microbial species**](./reference/microorganisms.html) and all [**~550 antibiotic, antimycotic and antiviral drugs**](./reference/antibiotics.html) by name and code, and knows all about valid RSI and MIC values. It supports any data format, including WHONET/EARS-Net data.
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<div class="main-content">
<p>
<a href="./countries.png" target="_blank"><img src="./countries.png" class="countries_map"></a>
<strong>Used in over 70 countries</strong><br>
Since its first public release in early 2018, this package has been downloaded over 25,000 times from 78 countries <small>(as of December 2019, <a href="https://cran-logs.rstudio.com" target="_blank">CRAN logs</a>)</small>. Click the map to enlarge.</p><br><br>
<a href="./countries_large.png" target="_blank"><img src="./countries.png" class="countries_map"></a>
<strong>Used in almost 80 countries</strong><br>
Since its first public release in early 2018, this package has been downloaded over 25,000 times from 79 countries <small>(as of December 2019, <a href="https://cran-logs.rstudio.com" target="_blank">CRAN logs</a>)</small>. Click the map to enlarge.</p><br><br>
</div>
#### Partners
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#### Microbial (taxonomic) reference data
This package contains the complete taxonomic tree of almost all 70,000 microorganisms from the authoritative and comprehensive Catalogue of Life (CoL, [www.catalogueoflife.org](http://www.catalogueoflife.org)). With `catalogue_of_life_version()` can be checked which version of the CoL is included in this package.
This package contains the complete taxonomic tree of almost all ~70,000 microorganisms from the authoritative and comprehensive Catalogue of Life (CoL, [www.catalogueoflife.org](http://www.catalogueoflife.org)). With `catalogue_of_life_version()` can be checked which version of the CoL is included in this package.
Read more about which data from the Catalogue of Life [in our manual](./reference/catalogue_of_life.html).