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set up Git LFS for large files
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@ -25,7 +25,7 @@ knitr::opts_chunk$set(
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library(AMR)
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library(dplyr)
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options(knitr.kable.NA = '')
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options(knitr.kable.NA = "")
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structure_txt <- function(dataset) {
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paste0("A data set with ",
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@ -94,8 +94,6 @@ All reference data (about microorganisms, antibiotics, R/SI interpretation, EUCA
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On this page, we explain how to download them and how the structure of the data sets look like.
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<p class="dataset-within-r">If you are reading this page from within R, please <a href="https://msberends.github.io/AMR/articles/datasets.html">visit our website</a>, which is automatically updated with every code change.</p>
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## Microorganisms (currently accepted names)
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`r structure_txt(microorganisms)`
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@ -104,8 +102,6 @@ This data set is in R available as `microorganisms`, after you load the `AMR` pa
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`r download_txt("microorganisms")`
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**NOTE: The exported files for SAS, SPSS and Stata do not contain SNOMED codes, as their file size would exceed 100 MB; the file size limit of GitHub.** Advice? Use R instead.
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### Source
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Our full taxonomy of microorganisms is based on the authoritative and comprehensive:
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