• 1 Introduction
  • I Working with RStudio
  • 2 Writing and Running Commands
    • 2.1 Working with Scripts
      • 2.1.1 Writing Scripts
      • 2.1.2 Running Scripts
    • 2.2 Working in the Console
    • 2.3 Command History
    • 2.4 Exercises
  • 3 Finding the Results
    • 3.1 Text Results
    • 3.2 Graphs
    • 3.3 Examining Data
      • 3.3.1 Environment Pane
      • 3.3.2 Viewing Dataframes and Lists
      • 3.3.3 Printing Data
    • 3.4 Exercises
  • 4 Saving Commands and Results
    • 4.1 Scripts
    • 4.2 Data Objects
      • 4.2.1 The Working Directory
    • 4.3 Plots
    • 4.4 Text
    • 4.5 Exercises
  • 5 Saving Output Automatically
    • 5.1 The sink() Function
    • 5.2 R BATCH Output
    • 5.3 Exercises
  • II Working with the R Language
  • 6 R Language Elements
    • 6.1 Comments
    • 6.2 Capitalization
    • 6.3 White Space
    • 6.4 Line Breaks
    • 6.5 Style
    • 6.6 Exercises
  • 7 R as a Calculator
    • 7.1 Exercises
  • 8 Using Help
    • 8.1 RStudio’s Help Pane
    • 8.2 Reading a Help Page
    • 8.3 Exercises
  • 9 Using Functions
    • 9.1 Exercises
  • 10 Using Packages
    • 10.1 What packages are already installed?
    • 10.2 Installing Additional Packages
    • 10.3 Using a Package
    • 10.4 Undoing things
    • 10.5 Exercises
  • 11 Next Steps

R Basics with RStudio

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11 Next Steps

Now that you have become familiar the basics of using R and RStudio, you can continue your R journey by learning data wrangling, the process of preparing data for analysis. Our Data Wrangling with R materials will equip you with knowledge and skills to work with data, vectors, and dataframes. See also our other materials on R, and be sure to enroll in our training where we teach these resources live.

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