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Intro to R - Part 1

Intro to R - Part 1 Online

In Part 1, you will learn what R and RStudio are, and have the opportunity to install the software, explore the interface, and run code.

If you have used RStudio in a previous class or workshop, you are likely to know this content. Feel free to skip Part 1 if you are comfortable with the following topics.

You are strongly encouraged to be ready to follow-along to install and explore the software on your own computer during the workshop. You may wish to be prepared to share your screen so that you can more easily get assistance if you have problems or questions.

Topics

  • What is R and why you might want to use it
  • Installing R and RStudio and the difference between them
  • The RStudio workspace
  • Creating, opening, and saving script files
  • Running code in a script and the console
  • Finding tutorials and alternative software

About the Intro to R Series

  • Part 1 helps new users get up and running with R/RStudio.
  • Part 2 explains the structure and parts of the language.
  • Part 3 discusses ways to effectively and efficiently use R.

See the Data Software category of the workshops calendar to register for addiitonal parts.

  • Fridays @ 1pm: Jan 24, Feb 7, Feb 21
  • Tuesdays @ noon: Feb 11, Feb 18, Feb 25
  • Wednesdays @ 7:30pm: Jan 29, Feb 12, Feb 26
Date:
Friday, January 24, 2025
Time:
1:00pm - 2:00pm
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Online Session
Online:
This is an online event. Event URL will be sent via registration email.
Categories:
  Data Software (R, Stata, SPSS, etc)     Research Development Academy  
Registration has closed.

NOTE: For the Doctoral Research Development Academy, you will be counted as attending one workshop if you attend the full session of at least one part of Intro to R. Of course, we encourage you to attend more than one part. But you need only attend one; additional sessions will not count toward the requirement.

Event Organizer

Profile photo of Debby Kermer
Debby Kermer