mirror of
https://github.com/msberends/AMR.git
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new umcg logo and old CHECKOUT update
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9
.github/workflows/check-old-tinytest.yaml
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.github/workflows/check-old-tinytest.yaml
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@@ -76,9 +76,14 @@ jobs:
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- uses: r-lib/actions/setup-pandoc@v2
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- name: Install tinytest from CRAN
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- name: Install suggested pkgs (and tinytest) from CRAN
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run: |
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install.packages("tinytest", repos = "https://cran.r-project.org")
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desc_lines <- readLines('DESCRIPTION')
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suggests <- readLines('DESCRIPTION')[grepl("^(Suggests:| )", readLines('DESCRIPTION'))]
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suggests <- suggests[(which(grepl("^Suggests", suggests)) + 1):length(suggests)]
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suggests <- gsub("[ ,]", "", suggests)
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pkgs <- unique(c(suggests, "tinytest"))
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for (p in pkgs) try(install.packages(p, repos = "https://cran.r-project.org"), silent = TRUE)
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shell: Rscript {0}
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- name: Show session info
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85
.github/workflows/lintr.yaml
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85
.github/workflows/lintr.yaml
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@@ -1,85 +0,0 @@
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# ==================================================================== #
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# TITLE: #
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# AMR: An R Package for Working with Antimicrobial Resistance Data #
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# #
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# SOURCE CODE: #
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# https://github.com/msberends/AMR #
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# #
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# PLEASE CITE THIS SOFTWARE AS: #
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# Berends MS, Luz CF, Friedrich AW, et al. (2022). #
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# AMR: An R Package for Working with Antimicrobial Resistance Data. #
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# Journal of Statistical Software, 104(3), 1-31. #
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# https://doi.org/10.18637/jss.v104.i03 #
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# #
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# Developed at the University of Groningen and the University Medical #
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# Center Groningen in The Netherlands, in collaboration with many #
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# colleagues from around the world, see our website. #
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# #
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# This R package is free software; you can freely use and distribute #
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# it for both personal and commercial purposes under the terms of the #
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# GNU General Public License version 2.0 (GNU GPL-2), as published by #
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# the Free Software Foundation.
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# We created this package for both routine data analysis and academic #
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# research and it was publicly released in the hope that it will be #
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# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
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# #
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# Visit our website for the full manual and a complete tutorial about #
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# how to conduct AMR data analysis: https://amr-for-r.org #
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# ==================================================================== #
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on:
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push:
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branches: '**'
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pull_request:
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branches: '**'
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name: lintr
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jobs:
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lintr:
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runs-on: ubuntu-latest
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env:
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GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
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steps:
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- uses: actions/checkout@v4
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- uses: r-lib/actions/setup-pandoc@v2
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- uses: r-lib/actions/setup-r@v2
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with:
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r-version: release
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# use RStudio Package Manager to quickly install packages
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use-public-rspm: true
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- uses: r-lib/actions/setup-r-dependencies@v2
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with:
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extra-packages: |
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any::lintr
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any::cyclocomp
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any::roxygen2
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any::devtools
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any::usethis
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- name: Remove unneeded folders
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run: |
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# do not check these folders
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rm -rf data-raw
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rm -rf tests
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rm -rf vignettes
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- name: Lint
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run: |
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# get ALL linters, not just default ones
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linters <- getNamespaceExports(asNamespace("lintr"))
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linters <- sort(linters[grepl("_linter$", linters)])
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# lose deprecated
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linters <- linters[!grepl("^(closed_curly|open_curly|paren_brace|semicolon_terminator|consecutive_stopifnot|no_tab|single_quotes|unnecessary_nested_if|unneeded_concatenation)_linter$", linters)]
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linters <- linters[linters != "linter"]
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# and the ones we find unnnecessary
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linters <- linters[!grepl("^(commented_code|extraction_operator|implicit_integer|indentation|line_length|namespace|nonportable_path|object_length|object_name|object_usage|is)_linter$", linters)]
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# put the functions in a list
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linters_list <- lapply(linters, function(l) eval(parse(text = paste0("lintr::", l, "()")), envir = asNamespace("lintr")))
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names(linters_list) <- linters
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# run them all!
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lintr::lint_package(linters = linters_list, exclusions = list("R/aa_helper_pm_functions.R"))
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shell: Rscript {0}
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3907
pkgdown/assets/logo_umcg.svg
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3907
pkgdown/assets/logo_umcg.svg
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