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Introduction to R Programming (2-Part Series) Online
Overview
This is a hands-on workshop introducing the R statistical programming language.
Objectives
- Learn how to create and use R projects and scripts
- Learn how to find, install, and get help for using R packages and functions
- Learn how to use built-in operators and functions
- Learn about control flow and user-defined functions
- Learn how to read, manipulate, describe and plot data
- Learn some best practices for R programming
Prerequisites
There are no prerequisites, other than to have the software installed prior to the workshop (see below).
Software
- Install R
- Install RStudio (free desktop version)
Materials
Workshop materials are available online here.
Instructor
Karla Lindquist, PhD, is the Scientific Lead for the UCSF Library's Data Science Initiative.
Albert Lee is a Data Science Instructional Designer and Analyst with UCSF.
School of Medicine's Zoom Guide for Participants.
Related LibGuide: Bioinformatics and Statistics Resources by Ariel Deardorff
- Dates & Times:
- 2:00pm - 4:00pm, Thursday, Feb 11 2021
2:00pm - 4:00pm, Friday, Feb 12 2021
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Data Science > Bioinformatics and Statistics Data Science > Programming Data Science
Registration has closed. (This event has to be booked as part of a series)
