Skip to main content
Julius Petri avatar

Julius Petri has completed

Working with the RStudio IDE (Part 2)

Start course For Free
3 hr
3,850 XP
Statement of Accomplishment Badge

Loved by learners at thousands of companies

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.

For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.
DataCamp for BusinessFor a bespoke solution book a demo.
  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!

    Play Chapter Now
    Introduction to R packages
    50 xp
    Create a new R package
    50 xp
    To update or not to update
    50 xp
    Import & load source files
    50 xp
    Add some R scripts
    50 xp
    Where are the scripts now?
    50 xp
    Loading files
    50 xp
    Package documentation
    50 xp
    Start with a skeleton
    50 xp
    Writing documentation
    50 xp
    A helping hand with documentation
    50 xp
    Package documentation (2)
    50 xp
    Filling in some documentation
    50 xp
    Package documentation (3)
    50 xp
    Render your help page
    50 xp
    Test your package
    50 xp
    How to test your package - the basics (1)
    50 xp
    How to test your package - the basics (2)
    50 xp
    Test your package (2)
    50 xp
    Test script structure
    50 xp
    Test your functions
    50 xp
    Test your package (3)
    50 xp
    Time to test your package
    50 xp
    Check your package
    50 xp
    Time to check your package
    50 xp
    Build your package
    50 xp
    Keyboard shortcut to build your package
    50 xp
    Time to build your package
    50 xp
    Avoid overwriting your packages
    50 xp
    Wrap-up
    50 xp
  2. 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.

    Play Chapter Now
    Introduction to Git
    50 xp
    Version control in the RStudio IDE
    50 xp
    What is a commit?
    50 xp
    Initializing Git
    50 xp
    Stage & commit
    50 xp
    Getting comfortable with commits (1)
    50 xp
    Getting comfortable with commits (2)
    50 xp
    .gitignore
    50 xp
    Using .gitignore
    50 xp
    Git icons
    50 xp
    Looking at Git icons (1)
    50 xp
    Looking at Git icons (2)
    50 xp
    Commit history
    50 xp
    Exploring commit history (1)
    50 xp
    Exploring commit history (2)
    50 xp
    Undo commited changes: checkout
    50 xp
    Using checkout
    50 xp
    Undo uncommitted changes
    50 xp
    Undo changes
    50 xp
    Introduction to GitHub
    50 xp
    Downloading packages with GitHub
    50 xp
    Pull & push
    50 xp
    Using pull & push
    50 xp
    Wrap-up
    50 xp
  3. 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.

    Play Chapter Now
    Tools for reporting
    50 xp
    Tools covered in this chapter
    50 xp
    Introduction to R Markdown
    50 xp
    R Markdown - the basics (1)
    50 xp
    R Markdown - the basics (2)
    50 xp
    R Markdown in RStudio
    50 xp
    Document types in R Markdown
    50 xp
    R Markdown templates
    50 xp
    Rendering R Markdown
    50 xp
    Knitting your documents
    50 xp
    Adding Shiny
    50 xp
    Compile notebook
    50 xp
    Using compile notebook
    50 xp
    RStudio's LaTeX editor
    50 xp
    LaTeX and reporting
    50 xp
    Working with LaTeX files (1)
    50 xp
    Working with LaTeX files (2)
    50 xp
    Shiny
    50 xp
    Using Shiny apps (1)
    50 xp
    Using Shiny apps (2)
    50 xp
    Publish Shiny apps
    50 xp
    Time to publish your Shiny app!
    50 xp
    How many Shiny apps can you have?
    50 xp
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

collaborators

Collaborator's avatar
Nick Carchedi

prerequisites

Introduction to R

Join over 18 million learners and start Working with the RStudio IDE (Part 2) today!

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.