Basic Statistics with R (4-week Series)

This is a 4-week long hands-on workshop covering basic statistical analyses with R. This virtual session will take place using Zoom.

Objectives

  • Review how to read, manipulate, and describe data in R (July 2)
  • Learn how to visualize data with ggplot2 (July 9)
  • Learn how to perform bivariable association tests, such as t-tests, chi-square, and correlations (July 16)
  • Learn how to run multivariable regression models for continuous, binary, and survival outcomes (July 23)

Prerequisites

The prerequisite for this workshop is introductory-level R programming skills, equivalent to what is covered in this workshop. Please also have the software installed on your laptop 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.

School of Medicine's Zoom Guide for Participants.

Dial-In Information

Zoom link will be sent via registration email.

Thursday, July 23 at 3:00pm to 4:00pm

Virtual Event
Event Type

Class/Info Session

Audience

Students, Postdocs, Faculty, Staff

Location

Online

Tags

programming, Data Science Initiative, online, r, rstudio, statistics

Website

https://calendars.library.ucsf.edu/ca...

Cost

Free

Department/Group
UCSF Library
Contact Info

karla.lindquist@ucsf.edu

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