To receive a Zoom link after registering above, please fill out the affiliations form if you have not done so at least once before: https://dlab.berkeley.edu/affiliations
Trying to register, but not affiliated with the UCB campus? If you are from Berkeley Lab (LBL), CZ Biohub, or other organizations, please register via our partner portals here.
Location: Remote via Zoom. Link will be sent on the morning of the event.
Recordings: This D-Lab workshop will be recorded and made available to UC Berkeley participants for a limited time. Your registration for the event indicates your consent to having any images, comments and chat messages included as part of the video recording materials that are made available.
Start Time: D-Lab workshops start 10 minutes after the scheduled start time (“Berkeley Time”). We will admit all participants from the waiting room at that time.
Date & Time: This workshop is a 4-part series running from 9am-11am each day:
• Part 1: Monday, April 29
• Part 2: Tuesday, April 30
• Part 3: Wednesday, May 1
• Part 4: Thursday, May 2
Description
This interactive workshop series is your complete introduction to programming in R for people with little or no previous programming experience. It covers the basics of using RStudio, creating variables, working with data frames, and starting to analyse your data using summary statistics and data visualization.
After completing this workshop series you will be able to:
- Navigate R Studio
- Open data in R and work with it in data frames using tidyverse
- Distinguish between different variable types
- Visualize data using ggplot
- Inspect documentation to deal with error messages
R Fundamentals has 4 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walk through interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. The workshop series is structured as follows:
- Part 1: Introduction to R and RStudio
- Part 2: Data frames and variable types
- Part 3: Manipulating data frames
- Part 4: Data visualizations and custom functions
Prerequisites: None
Workshop Materials: https://github.com/dlab-berkeley/R-Fundamentals
Software Requirements: Installation Instructions for R and RStudio
Is RStudio Not working on your laptop?
Attend the workshop anyway, we can provide you with a cloud-based solution until you figure out the problems with your local installation.
Feedback: After completing the workshop, please provide us feedback using this form.
Questions? Email: dlab-frontdesk@berkeley.edu