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A data set containing 3 000 microbial isolates that are not cleaned up and consequently not ready for AMR data analysis. This data set can be used for practice.

Usage

example_isolates_unclean

Format

A tibble with 3 000 observations and 8 variables:

  • patient_id
    ID of the patient

  • date
    date of receipt at the laboratory

  • hospital
    ID of the hospital, from A to C

  • bacteria
    info about microorganism that can be transformed with as.mo(), see also microorganisms

  • AMX:GEN
    4 different antimicrobials that have to be transformed with as.sir()

Download Our Reference Data

All reference data sets in the AMR package - including information on microorganisms, antimicrobials, and clinical breakpoints - are freely available for download in multiple formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata.

For maximum compatibility, we also provide machine-readable, tab-separated plain text files suitable for use in any software, including laboratory information systems.

Visit our website for direct download links, or explore the actual files in our GitHub repository.

Examples

example_isolates_unclean
#> # A tibble: 3,000 × 8
#>    patient_id hospital date       bacteria      AMX   AMC   CIP   GEN  
#>    <chr>      <chr>    <date>     <chr>         <chr> <chr> <chr> <chr>
#>  1 J3         A        2012-11-21 E. coli       R     I     S     S    
#>  2 R7         A        2018-04-03 K. pneumoniae R     I     S     S    
#>  3 P3         A        2014-09-19 E. coli       R     S     S     S    
#>  4 P10        A        2015-12-10 E. coli       S     I     S     S    
#>  5 B7         A        2015-03-02 E. coli       S     S     S     S    
#>  6 W3         A        2018-03-31 S. aureus     R     S     R     S    
#>  7 J8         A        2016-06-14 E. coli       R     S     S     S    
#>  8 M3         A        2015-10-25 E. coli       R     S     S     S    
#>  9 J3         A        2019-06-19 E. coli       S     S     S     S    
#> 10 G6         A        2015-04-27 S. aureus     S     S     S     S    
#> # ℹ 2,990 more rows