R is a popular programming language for statistical computing and graphics. This 2-day workshop focuses on the basic concepts and features of R that will serve as building blocks for data analysis tasks. The workshop is taught using RStudio in the Interactive Data Analytics Service (IDAS).
No experience with R or RStudio is required. A basic understanding of general statistical concepts, as typically taught in the first college-level statistics course, may be helpful for attendees to follow the sections on statistics. (See the workshop agenda below.)
This workshop is available to current University of Iowa members only.
4. How to register
Click here then log in with your HawkID and password. Click “Register now” at the bottom of the page to register. After registering successfully, an automated email with a Zoom link will be sent to your University of Iowa email. Registration will close at 11 am on Monday, April 3, 2023.
5. Additional information
If you have any questions, please see the workshop FAQs or contact email@example.com.
6. Workshop agenda
This workshop is taught in 2 sessions over 2 days. The later session builds on the previous one. Participants are encouraged to attend all sessions in order to learn the complete contents of the workshop.
Again, note that we start by learning the basic concepts and features of R that will be relevant for data analysis tasks later. If you are already familiar with the concepts below, please see the workshop FAQs for a list of additional, free learning resources.
Tentative topics to be covered:
- Brief overview of R and RStudio
- RStudio interface - the Console, Environment, and Files panes
- Getting and setting the working directory
- Working with a script file
- Getting help in R
- Variable assignment
- Built-in functions
- Built-in datasets
- Data Frames
- Functions to get basic descriptive statistics
- Reading and writing to CSV files
- Comparison statements
- Brief intro to the tidyverse
- Data transformations
- Filter rows
- Create new columns
- Functions to get summary statistics by groups
- Resources for after the workshop