Setting up a CI/CD pipeline for R projects using GitHub Actions
I'm working on a project and hit a roadblock. I've searched everywhere and can't find a clear answer... I'm following best practices but Currently developing an R project that involves data analysis and visualization. As part of this, I want to automate the deployment process using GitHub Actions to ensure that every time I push changes to the main branch, my code gets tested and deployed seamlessly. I’ve read some documentation and found that creating a `.github/workflows/ci.yml` file is essential for this setup. Here’s a simplified version of what I’ve put together so far: ```yaml name: R-CMD-check on: push: branches: - main pull_request: branches: - main jobs: R-CMD-check: runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v2 - name: Setup R uses: r-lib/actions/setup-r@v2 - name: Install dependencies run: | R -e 'install.packages("devtools")' R -e 'devtools::install_deps()' - name: Run tests run: R -e 'devtools::test()' ``` It looks good on the surface, but I’m not sure if I’m missing any steps, especially regarding package dependencies or if I need to include anything for specific R version compatibility. Testing is crucial for my project since it relies heavily on data integrity, and right now, I’m uncertain if the tests are properly running or if there’s a better way to structure this YAML file. What would be the best practices when setting this up, or are there any common pitfalls I should be aware of? Also, is there a way to include code coverage reports in this workflow? I’ve seen mentions of `covr` but haven’t integrated it yet. Any advice would be greatly appreciated! I'm using R 3.11 in this project. Any examples would be super helpful. I'm using R LTS in this project.