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59 lines
2.2 KiB
Markdown
59 lines
2.2 KiB
Markdown
# Data Set with 500 ESBL Isolates
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A data set containing 500 microbial isolates with MIC values of common
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antibiotics and a binary `esbl` column for extended-spectrum
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beta-lactamase (ESBL) production. This data set contains randomised
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fictitious data but reflects reality and can be used to practise
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AMR-related machine learning, e.g., classification modelling with
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[tidymodels](https://amr-for-r.org/articles/AMR_with_tidymodels.html).
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## Usage
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``` r
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esbl_isolates
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```
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## Format
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A [tibble](https://tibble.tidyverse.org/reference/tibble.html) with 500
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observations and 19 variables:
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- `esbl`
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Logical indicator if the isolate is ESBL-producing
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- `genus`
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Genus of the microorganism
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- `AMC:COL`
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MIC values for 17 antimicrobial agents, transformed to class
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[`mic`](https://amr-for-r.org/reference/as.mic.md) (see
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[`as.mic()`](https://amr-for-r.org/reference/as.mic.md))
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## Details
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See our [tidymodels
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integration](https://amr-for-r.org/reference/amr-tidymodels.md) for an
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example using this data set.
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## Examples
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``` r
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esbl_isolates
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#> # A tibble: 500 × 19
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#> esbl genus AMC AMP TZP CXM FOX CTX CAZ GEN TOB TMP SXT
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#> <lgl> <chr> <mic> <mic> <mic> <mic> <mic> <mic> <mic> <mic> <mic> <mic> <mic>
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#> 1 FALSE Esch… 32 32 4 64 64 8.00 8.00 1 1 16.0 20
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#> 2 FALSE Esch… 32 32 4 64 64 4.00 8.00 1 1 16.0 320
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#> 3 FALSE Esch… 4 2 64 8 4 8.00 0.12 16 16 0.5 20
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#> 4 FALSE Kleb… 32 32 16 64 64 8.00 8.00 1 1 0.5 20
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#> 5 FALSE Esch… 32 32 4 4 4 0.25 2.00 1 1 16.0 320
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#> 6 FALSE Citr… 32 32 16 64 64 64.00 32.00 1 1 0.5 20
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#> 7 FALSE Morg… 32 32 4 64 64 16.00 2.00 1 1 0.5 20
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#> 8 FALSE Prot… 16 32 4 1 4 8.00 0.12 1 1 16.0 320
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#> 9 FALSE Ente… 32 32 8 64 64 32.00 4.00 1 1 0.5 20
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#> 10 FALSE Citr… 32 32 32 64 64 8.00 64.00 1 1 16.0 320
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#> # ℹ 490 more rows
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#> # ℹ 6 more variables: NIT <mic>, FOS <mic>, CIP <mic>, IPM <mic>, MEM <mic>,
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#> # COL <mic>
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```
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