![]() 10.2.9 Sharing and releasing your package.10.2.8 Checking and installing your package.10.1.4 Examples: Minimizing work with functions.10 Session 10: Writing Functions and Packages.9.2.4 Interactive visualization using leaflet and DT.9 Session 9: Data Visualisation and Publishing to the Web.8 Session 8: Cleaning and Manipulating Data.6.2 Additional Resources: Collaboration, authorship and data policies.6.1.4 Bonus Activity: Your Complex Self.6.1.3 About the Whole Brain Thinking System.6 Session 6: Social Aspects of Collaboration.5.5.1 Producing and resolving merge conflicts.5.3.5 Step 5: Owner edits, commit, and push.5.3.3 Step 3: Collaborator commit and push.5.3 Collaborating with a trusted colleague without conflicts. ![]() 5 Session 5: Git Collaboration and Conflict Management.4.5 Setting up git on an existing project.Collaboration and conflict free workflows.4.4 Working locally with Git via RStudio.4.3 Create a remote repository on GitHub.Version control and Collaboration using Git and GitHub.4 Session 4: Version Control with git and GitHub.3.1.4 Setting up the R environment on your local computer.3.1.2 Introduction to reproducible research.3.1 RStudio and Git/GitHub Setup and Motivation.3 Session 3: Literate Analysis with RMarkdown.2.2.3 Data repositories: built for data (and code).2.1.5 Provanance & Preserving Computational Workflows.2 Session 2: Documenting and Publishing Data.1.2.8 Arctic Data Center Support for DMPs.1.2.7 Tools in Support of Creating a DMP.1.2.2 When to Plan: The Data Life Cycle.1.1.2 Arctic Data Center - History and Introduction.1.1 Introduction to the Arctic Data Center and NSF Standards and Policies.1 Session 1: Introduction to the Arctic Data Center.Data Science Training for the Arctic Data Center.
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