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Getting Started with R and R Studio Part 1

Getting Started with R and R Studio Part 1 Online

This 2-part introductory workshop aims to teach basic concepts, skills, and tools for working with data in R so that you can get more done in less time, and apply concepts of reproducibility to your research. This is an introduction to R designed for participants with no R programming experience. Part 1 of the workshop covers basic information about R syntax and the RStudio interface, including installing packages and working with vectors. Part 2 will cover importing CSV files, working with dataframes, how to deal with categorical variables, how to add/remove rows and columns using the popular dplyr package, and how to calculate summary statistics from a dataframe. Taking Part 1 and Part 2 is encouraged, but optional.

 

Learners should bring a laptop and should already have installed R and RStudio on their computer. Installation and set-up instructions, as well as a detailed curriculum for the workshop can be accessed here

 

Learning objectives for Part 1:

  • Describe the different panes in the RStudio environment and how they are used when coding in R.
  • Run lines of R code from a script file to the console.
  • Create and store new objects in R.
  • Find help information for functions.
  • Use functions in R with appropriate syntax and arguments.
  • Define, create and manipulate vectors in R.

Date:
Wednesday, November 6, 2024
Time:
10:00am - 11:30am
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Virtual Workshop
Audience:
  Alumni     Faculty     Pittsburgh community     Staff     Students  
Categories:
  Open Science     Working With Data and Code  
Online:
This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
Registration has closed.

Virtual Workshop Information:

  • The link to join this event will be found in your confirmation email and in the reminder email sent 24 hours before the event. 
  • Please join a few minutes early to ensure that your audio setup is working correctly.
  • All events are shown in Pittsburgh time. Visit this time zone converter to see when this event will take place in your time zone.

Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information. All participants are required to follow the Code of Conduct.

If you require accessibility accommodations, please contact the event organizer.

Organizer(s)

Profile photo of Di Yoong
Di Yoong

Social Sciences Librarian

About & Contact Info

they/them

 

 

Profile photo of Sarah Young
Sarah Young

About & Contact Info

Social Sciences Librarian and Director of the Evidence Synthesis Program