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(v1.5.0.9014) only_rsi_columns, is.rsi.eligible improvement
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index.md
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### What is `AMR` (for R)?
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*(To find out how to conduct AMR analysis, please [continue reading here to get started](./articles/AMR.html).)*
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*(To find out how to conduct AMR data analysis, please [continue reading here to get started](./articles/AMR.html).)*
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`AMR` is a free, open-source and independent [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.
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* Reference for the taxonomy of microorganisms, since the package contains all microbial (sub)species from the [Catalogue of Life](http://www.catalogueoflife.org) and [List of Prokaryotic names with Standing in Nomenclature](https://lpsn.dsmz.de) ([manual](./reference/mo_property.html))
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* Interpreting raw MIC and disk diffusion values, based on the latest CLSI or EUCAST guidelines ([manual](./reference/as.rsi.html))
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* Retrieving antimicrobial drug names, doses and forms of administration from clinical health care records ([manual](./reference/ab_from_text.html))
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* Determining first isolates to be used for AMR analysis ([manual](./reference/first_isolate.html))
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* Determining first isolates to be used for AMR data analysis ([manual](./reference/first_isolate.html))
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* Calculating antimicrobial resistance ([tutorial](./articles/AMR.html))
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* Determining multi-drug resistance (MDR) / multi-drug resistant organisms (MDRO) ([tutorial](./articles/MDR.html))
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* Calculating (empirical) susceptibility of both mono therapy and combination therapies ([tutorial](./articles/AMR.html))
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### Get started
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To find out how to conduct AMR analysis, please [continue reading here to get started](./articles/AMR.html) or click the links in the 'How to' menu.
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To find out how to conduct AMR data analysis, please [continue reading here to get started](./articles/AMR.html) or click the links in the 'How to' menu.
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### Short introduction
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* Aside from this website with many tutorials, the package itself contains extensive help pages with many examples for all functions.
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* The package also contains example data sets:
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* The [`example_isolates` data set](./reference/example_isolates.html). This data set contains 2,000 microbial isolates with their full antibiograms. It reflects reality and can be used to practice AMR analysis.
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* The [`example_isolates` data set](./reference/example_isolates.html). This data set contains 2,000 microbial isolates with their full antibiograms. It reflects reality and can be used to practice AMR data analysis.
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* The [`WHONET` data set](./reference/WHONET.html). This data set only contains fake data, but with the exact same structure as files exported by WHONET. Read more about WHONET [on its tutorial page](./articles/WHONET.html).
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### Copyright
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