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Introduction to R Programming Part 2
Overview
This is the second session of a 4-week long hands-on workshop introduction the R statistical programming language. This virtual session will take place using Zoom. The link will be sent an hour in advance to registered attendees.
Learning Objectives
- Learn about object classes and data structures
- Learn how to use control flow (if-else, for loops, etc.)
- Learn how to write your own functions
Prerequisites
There are no prerequisites, other than to have the software installed on your laptop 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.
School of Medicine's Zoom Guide for Participants.
Related LibGuide: Bioinformatics and Statistics Resources by Karla Lindquist
- Date:
- Thursday, Jun 11 2020
- Time:
- 3:00pm - 4:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Categories:
- Data Science Initiative > Programming Data Science Initiative
Registration has closed.
