mirror of https://github.com/msberends/AMR.git
67 lines
3.0 KiB
YAML
67 lines
3.0 KiB
YAML
# ==================================================================== #
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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 #
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# https://github.com/msberends/AMR #
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# #
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# CITE AS #
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# Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C #
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# (2022). AMR: An R Package for Working with Antimicrobial Resistance #
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# Data. 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://msberends.github.io/AMR/ #
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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: code-coverage
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jobs:
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code-coverage:
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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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CODECOV_TOKEN: ${{secrets.CODECOV_TOKEN}}
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steps:
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- uses: actions/checkout@v3
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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: any::covr
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- name: Test coverage
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env:
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R_LIBS_USER_GH_ACTIONS: ${{ env.R_LIBS_USER }}
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R_RUN_TINYTEST: true
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run: |
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x <- covr::codecov(line_exclusions = list("R/atc_online.R", "R/mo_source.R", "R/translate.R", "R/resistance_predict.R", "R/zz_deprecated.R", "R/aa_helper_functions.R", "R/aa_helper_pm_functions.R", "R/zzz.R"))
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print(x)
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shell: Rscript {0}
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