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(v2.1.1.9186) replace antibiotics
with antimicrobials
!
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@ -40,7 +40,7 @@ download_txt <- function(filename) {
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msg <- paste0(
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"It was last updated on ",
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trimws(format(file.mtime(paste0("../data/", filename, ".rda")), "%e %B %Y %H:%M:%S %Z", tz = "UTC")),
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". Find more info about the structure of this data set [here](https://msberends.github.io/AMR/reference/", ifelse(filename == "antivirals", "antibiotics", filename), ".html).\n"
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". Find more info about the structure of this data set [here](https://msberends.github.io/AMR/reference/", ifelse(filename == "antivirals", "antimicrobials", filename), ".html).\n"
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)
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github_base <- "https://github.com/msberends/AMR/raw/main/data-raw/"
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filename <- paste0("../data-raw/", filename)
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@ -111,7 +111,7 @@ print_df <- function(x, rows = 6) {
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}
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```
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All reference data (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) in this `AMR` package are reliable, up-to-date and freely available. We continually export our data sets to formats for use in R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated text files that are machine-readable and suitable for input in any software program, such as laboratory information systems.
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All reference data (about microorganisms, antimicrobials, SIR interpretation, EUCAST rules, etc.) in this `AMR` package are reliable, up-to-date and freely available. We continually export our data sets to formats for use in R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated text files that are machine-readable and suitable for input in any software program, such as laboratory information systems.
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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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@ -158,13 +158,13 @@ microorganisms %>%
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```
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## `antibiotics`: Antibiotic (+Antifungal) Drugs
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## `antimicrobials`: Antibiotic and Antifungal Drugs
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`r structure_txt(antibiotics)`
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`r structure_txt(antimicrobials)`
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This data set is in R available as `antibiotics`, after you load the `AMR` package.
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This data set is in R available as `antimicrobials`, after you load the `AMR` package.
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`r download_txt("antibiotics")`
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`r download_txt("antimicrobials")`
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The tab-separated text, Microsoft Excel, SPSS, and Stata files all contain the ATC codes, common abbreviations, trade names and LOINC codes as comma separated values.
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@ -180,7 +180,7 @@ This data set contains all EARS-Net and ATC codes gathered from WHO and WHONET,
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### Example content
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```{r, echo = FALSE}
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antibiotics %>%
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antimicrobials %>%
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filter(ab %in% colnames(example_isolates)) %>%
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print_df()
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```
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