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Basic Statistics with R (2-Part Series) Online
Overview
This is a hands-on workshop covering basic statistical analyses with the R programming language.
Objectives
- Review how to read, manipulate, and describe data in R
- Learn how to visualize data with ggplot2
- Learn how to perform bivariable association tests, such as t-tests, chi-square, and correlations
- Learn how to run multivariable regression models for continuous, binary, and survival outcomes
Prerequisites
Introductory-level R programming skills, equivalent to what is covered in this workshop. Please also 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 25 2021
2:00pm - 4:00pm, Friday, Feb 26 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 ZSFG
Registration has closed. (This event has to be booked as part of a series)