RDM Jumpstart
  • Day 1
    • Overview
    • Introduction to the RDM Jumpstart
    • RDM: Introduction
    • Workflow for the Week
    • OSF
    • Data Management Plans
  • Day 2
    • Overview
    • RDM: Bias & Reproducibility
    • Computational Reproducibility: Excel vs R
    • R: Setting Up
    • R: First Steps
  • Day 3
    • Overview
    • Computational Reproducibility: Dependencies
    • R: Data Types and Structures
    • R: Filter and Select
  • Day 4
    • Overview
    • R: Data Visualization
    • R: Troubleshooting
    • R: Saving Output
  • Day 5
    • Overview
    • Day 5 - Sharing & Depositing
  • Extras
    • Resources
      • Code of Conduct
      • Project DMP
      • R Cheatsheet
    • Roadmaps
      • RDM Roadmap
      • Reproducible Roadmap
    • Additional Content
      • osfr
      • Creating a data dictionary
      • Directories and files
    • Setup
      • R & RStudio Setup
      • OSF Setup
      • Borealis Setup
    • Contributors

Day 4 Overview

Day 4

Today we’re really going to jump into R! We start with an introduction to creating data visualizations in R. We then work through a series of activities to address how to resolve errors encountered in R. We wrap up with exporting from R.

By the end of today, you will be able to:

  • Build common visualizations in R.
  • Identify common errors in R and how to get help resolving them.
  • Save and export content generated in R.


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