![]() ![]() When a repository is under git version control, information about all changes made, saved, and committed on any non-ignored file in a repository is saved. More generally, this section describes how to use git and GitHub for version control and collaboration when building R packages. If the repository is a fork, keep up-to-date with changes in the upstream branchĮach of these elements are described in detail in this section.Fix any merge conflicts that come up between different collaborators’ code edits.Write and resolve “Issues” with the code in the repository.Pull the latest version of the GitHub remote branch to incorporate changes from collaborators into the repository code saved on your personal computer.Push committed changes to the GitHub remote branch.Commit changes in files in the repository to save git history locally.Day-to-day workflow for a repository- these are things you will do regularly as you develop the code in a repository.(If you are starting from a GitHub repository rather than a local repository, either clone the repository or fork and clone the repository instead.).Push the local repository to the GitHub remote branch.Add the GitHub repository as a remote branch of the local repository.Make an initial commit of files in the repository.Initialize the directory on your personal computer as a git repository.Set-up of a specific repository- these are things you will need to do every time you create a new repository, but will only need to do once per repository.Set up a SSH key to link RStudio on your personal computer with your GitHub account.Configure git with your user name and email.Initial set-up- these are things you will only need to do once (at least per computer).When using git and GitHub, there are three levels of tasks you’ll need to do: While git historically required you to leave R and run git functions at a command line, RStudio now has a number of features that make it easier to interface directly with GitHub. GitHub can be particularly useful for collaborating with others on R packages, as it allows all collaborators to push and pull code between their personal computers and a GitHub repository. You can post R packages on GitHub and, with the install_github function from the devtools package, install R packages directly from GitHub. GitHub allows you to post and interact with online code repositories, where all repositories are under git version control. Create create a GitHub repository for an R package.4.7.4 Example: Normal Confidence Intervals. ![]() 4.7.2 Example: An Automatic Transparency Geom.4.5.6 Find out more about grid graphics.4.3.5 Where to find more on mapping with R.4.3.4 More advanced mapping – Spatial objects.3.10.1 Web Services for Continuous Integration.3.8.5 Linking local repo to GitHub repo.3.5 Software Testing Framework for R Packages.3.4.3 Common Markdown formatting elements.2.10.2 Compose simple functions with the pipe.2.10 Gaining Your ‘tidyverse’ Citizenship.2.5.3 When to generate errors or warnings.2.3.2 Core Functional Programming Functions.1.10.1 How to Google Your Way Out of a Jam. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |