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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

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 Karla Lindquist

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
Categories:
  Data Science Initiative > Bioinformatics and Statistics     Data Science Initiative > Programming     Data Science Initiative     ZSFG  
Online:
This is an online event. Event URL will be sent via registration email.
Registration has closed. (This event has to be booked as part of a series)

Event Organizer

Profile photo of Karla Lindquist
Karla Lindquist