I’ve tried to leave my files in the template repository, but Github Classroom will currently overwrite them when the student accepts the task.Ĭreate a test.R file, and use your skills to assess the student’s answer. That is not fancy stuff you have to define what is right or wrong and how much.
Github Classroom has an option to create an automatic grading, so the students can push answers for solving the assessment, and the system will automatically verify if it is right.
github/workflows/configure_readme.yml with the following Github action: replace_envs.Īnd, to avoid this action runs in your template, but in student’s fork, add this line before steps: If you generate the README.md from an Rmd file, it is really recommended that you use the plain HTML above since knitr or something else seems to recode the URL, and I could not find a way to disable that.Ĭreate a workflow at. The variables $ are variables that will be automatically replaced by a Github action. Pay attention to the strings you must set: YOUR_USERNAME, YOUR_FORK, YOUR_CLASSROOM.Īlso pay attention that recently, Github is changing the default repository from master to main. You must have a README.md with the following link (adapted from the generated URL from nbgitpuller link generator): RProj file (e.g., Assignment.Rproj).Īnd this name must be the same you set in Step 1 (in last-project-path). There are some requirements to make this work: This perspective on the Git landscape is presented in Basic Git Concepts and Daily Workflows.Step 2 – Create the assignment repository Happy Git aims to complement existing, general Git resources by highlighting the most rewarding usage patterns for data science. The use of Git/GitHub in data science has a slightly different vibe from that of pure software development, due to differences in the user’s context and objective. We also show the special synergy between R/R Markdown/RStudio and GitHub, which provides a powerful demonstration of why all this setup is worthwhile. In Early GitHub Wins, we rack up some early success with the basic workflows that are necessary to get your work onto GitHub. The first two parts, Installation and Connect Git, GitHub, RStudio, provide a “batteries included” quick start to verify your setup. The target reader is someone who uses R for data analysis or who works on R packages, although some of the content may be useful to those working in adjacent areas.
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