Background informationSome pages about our package and its external sources. Be sure to read our How To’s for more information about how to work with functions in this package. |
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The |
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ITIS: Integrated Taxonomic Information System |
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WHOCC: WHO Collaborating Centre for Drug Statistics Methodology |
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Cleaning your dataFunctions for cleaning and optimising your data, to be able to add variables later on (like taxonomic properties) or to fix and extend antibiotic interpretations by applying EUCAST rules. |
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Transform to ATC code |
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Class 'mic' |
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Transform to microorganism ID |
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Class 'rsi' |
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Use predefined reference data set |
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EUCAST rules |
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Guess antibiotic column |
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Read data from 4D database |
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Adding variables to your dataFunctions to add new data to existing data, like the determination of first isolates, multi-drug resistant microorganisms (MDRO), getting properties of microorganisms or antibiotics and determining the age of patients or divide ages into age groups. |
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Determine first (weighted) isolates |
Determine multidrug-resistant organisms (MDRO) |
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Key antibiotics for first weighted isolates |
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Property of a microorganism |
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Property of an antibiotic |
Get ATC properties from WHOCC website |
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Name of an antibiotic |
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Age in years of individuals |
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Split ages into age groups |
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Symbol of a p value |
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Join a table with |
Analysing your dataFunctions for conducting AMR analysis, like counting isolates, calculating resistance or susceptibility, creating frequency tables or make plots. |
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Count isolates |
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Calculate resistance of isolates |
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Frequency table |
G-test for Count Data |
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AMR plots with |
Kurtosis of the sample |
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Predict antimicrobial resistance |
Calculate resistance of isolates |
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Skewness of the sample |
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Included data setsReferences for microorganisms and antibiotics, and even a genuine data set with isolates from septic patients. |
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Data set with ~500 antibiotics |
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Data set with ~20,000 microorganisms |
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Data set with 2,000 blood culture isolates from septic patients |
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Translation table for microorganism codes |
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Data set with previously accepted taxonomic names |
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Supplementary Data |
OtherThese functions are mostly for internal use, but some of them may also be suitable for your analysis. Especially the ‘like’ function can be useful: |
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Get language for AMR |
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Pattern Matching |
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Vector of failed coercion attempts |
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Vector of taxonomic renamed items |
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Deprecated functions |