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fix for R <= 3.3
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3
.github/workflows/check.yaml
vendored
3
.github/workflows/check.yaml
vendored
@ -135,6 +135,7 @@ jobs:
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R_RUN_TINYTEST: true
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run: |
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cd ..
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ls -lh
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R CMD build AMR
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R CMD check --no-manual --run-donttest --run-dontrun AMR_*.tar.gz
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shell: bash
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@ -142,6 +143,8 @@ jobs:
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- name: Show unit tests output
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if: always()
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run: |
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ls -lh
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cd AMR
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find . -name 'tinytest.Rout*' -exec cat '{}' \; || true
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shell: bash
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@ -1,5 +1,5 @@
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Package: AMR
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Version: 1.8.1.9039
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Version: 1.8.1.9040
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Date: 2022-08-28
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Title: Antimicrobial Resistance Data Analysis
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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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2
NEWS.md
2
NEWS.md
@ -1,4 +1,4 @@
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# AMR 1.8.1.9039
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# AMR 1.8.1.9040
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### New
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* EUCAST 2022 and CLSI 2022 guidelines have been added for `as.rsi()`. EUCAST 2022 is now the new default guideline for all MIC and disks diffusion interpretations.
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@ -651,7 +651,7 @@ dataset_UTF8_to_ASCII <- function(df) {
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df[, i] <- col
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}
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}
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tibble::as_tibble(df)
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import_fn("as_tibble", "tibble")(df)
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}
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# for eucast_rules() and mdro(), creates markdown output with URLs and names
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@ -53,11 +53,13 @@ expect_false(any(is.na(as.disk(rsi_translation[which(rsi_translation$method == "
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# antibiotic names must always be coercible to their original AB code
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expect_identical(as.ab(antibiotics$name), antibiotics$ab)
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# there should be no diacritics (i.e. non ASCII) characters in the datasets (CRAN policy)
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datasets <- data(package = "AMR", envir = asNamespace("AMR"))$results[, "Item", drop = TRUE]
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for (i in seq_len(length(datasets))) {
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dataset <- get(datasets[i], envir = asNamespace("AMR"))
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expect_identical(AMR:::dataset_UTF8_to_ASCII(dataset), dataset, info = datasets[i])
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if (AMR:::pkg_is_available("tibble", also_load = FALSE)) {
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# there should be no diacritics (i.e. non ASCII) characters in the datasets (CRAN policy)
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datasets <- data(package = "AMR", envir = asNamespace("AMR"))$results[, "Item", drop = TRUE]
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for (i in seq_len(length(datasets))) {
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dataset <- get(datasets[i], envir = asNamespace("AMR"))
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expect_identical(AMR:::dataset_UTF8_to_ASCII(dataset), dataset, info = datasets[i])
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}
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}
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df <- AMR:::MO_lookup
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