Interactive Course

Working with the RStudio IDE (Part 2)

Further your knowledge of RStudio and learn how to integrate Git, LaTeX, and Shiny

  • 3 hours
  • 29 Videos
  • 77 Exercises
  • 7,565 Participants
  • 3,850 XP

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Course Description

Learn how RStudio makes it easy to build your own R packages, how you can integrate with your favorite version control software like Git and GitHub for maximum productivity, and finally how to make use of tools like R Markdown, LaTeX, and Shiny for reporting your results to the relevant stakeholders.

This is the second part of a two-part course on how to use RStudio. Part 1 covers the basics of working with RStudio.

  1. 1

    Packages

    Free

    This chapter takes you through the process, from start to finish, of building your own R package in the RStudio IDE. You'll see how the tools provided in the IDE make package development accessible (and fun) for everyone!

  2. Reporting

    This chapter covers the basics of working with three popular reporting tools in RStudio: R Markdown, Shiny, and LaTeX. The goal is to make it as easy and enjoyable as possible for you to document your analyses in a reproducible way and share your results with others.

  1. 1

    Packages

    Free

    This chapter takes you through the process, from start to finish, of building your own R package in the RStudio IDE. You'll see how the tools provided in the IDE make package development accessible (and fun) for everyone!

  2. Version Control

    In this chapter, you'll practice using RStudio's version control interface. You'll start with the basics, like how to turn on version control using Git in an existing directory. Then, you'll see how to track changes to files over time, explore your commit history, get rid of unwanted changes, and how to push changes to remote repositories on GitHub.

  3. Reporting

    This chapter covers the basics of working with three popular reporting tools in RStudio: R Markdown, Shiny, and LaTeX. The goal is to make it as easy and enjoyable as possible for you to document your analyses in a reproducible way and share your results with others.

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Team RStudio
Team RStudio

Instructor

Collaborators
  • Nick Carchedi

    Nick Carchedi

Prerequisites
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