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# `AMR` (for R) <img src="man/figures/logo.png" align="right" height="120px" />
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# `AMR` (for R) <img src="./logo.png" align="right" height="120px" />
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*(<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).*
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`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 properties by using evidence-based methods.
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We created this package for academic research at the Faculty of Medical Sciences of the University of Groningen and the Medical Microbiology & Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG).
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This R package is free software; you can freely use and distribute it for both personal and commercial (but **not** patent) purposes under the terms of the GNU General Public License version 2.0 (GPL-2), as published by the Free Software Foundation. Read further about our GPL-2 licence [here](./LICENSE-text.html).
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We created this package for both academic research and routine analysis at the Faculty of Medical Sciences of the University of Groningen and the Medical Microbiology & Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG).
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This R package is actively maintained and free software; you can freely use and distribute it for both personal and commercial (but **not** patent) purposes under the terms of the GNU General Public Licence version 2.0 (GPL-2), as published by the Free Software Foundation. Read the full licence [here](./LICENSE-text.html).
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This package can be used for:
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* Calculating antimicrobial resistance
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* Predicting antimicrobial resistance using regression models
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* Getting properties for any microorganism (like Gram stain, species, genus or family)
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* Getting properties for any antibiotic (like name, ATC code, defined daily dose or trade name)
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* Plotting antimicrobial resistance
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* Determining first isolates to be used for AMR analysis
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* Applying EUCAST rules
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* Determining multi-drug resistance organisms (MDRO)
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* Descriptive statistics: frequency tables, kurtosis and skewness
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This package is ready-to-use for a professional environment by specialists in the following fields:
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Medical Microbiology:
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Medical Microbiology
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* Epidemiologists (both clinical microbiological and research)
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* Research Microbiologists
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* Research Pharmacologists
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* Data Scientists / Data Analysts
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Veterinary Microbiology:
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Veterinary Microbiology
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* Research Veterinarians
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* Veterinary Epidemiologists
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Microbial Ecology:
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Microbial Ecology
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* Soil Microbiologists
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* Extremophile Researchers
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* Astrobiologists
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Developers:
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Developers
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* Package developers for R
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* Software developers
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