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Univariate and bivariate statistics with R

Overview

This is a hands-on workshop that covers how to describe single variables and test for relationships between two variables using the R programming language. It is not an introductory R programming workshop. See prerequisities below.

Objectives

In this workshop you will will learn how to:

  • describe single variables easily using dplyr functions (e.g. summary statistics, distribution tests)
  • test for association between two variables (e.g. t-tests, correlations)
  • correct for multiple testing
 

Prerequisites

Basic R programming skills, such as how to install packages, load data into R, read help files, and use basic functions. Please also have the software installed prior to the workshop (see below).

Software

Materials

Workshop materials will be available online by the time of the workshop.

Instructor

Karla Lindquist, PhD, is the Scientific Lead for the UCSF Library's Data Science Initiative.

Zoom information

An email reminder will be sent 2 hours in advance of the workshop with the Zoom link. School of Medicine's Zoom Guide for Participants.

Related LibGuide: Bioinformatics and Statistics Resources by Karla Lindquist

Date:
Wednesday, Sep 29 2021
Time:
11:00am - 1:00pm
Time Zone:
Pacific Time - US & Canada (change)
Campus:
Online
Categories:
  Data Science Initiative > Bioinformatics and Statistics     Data Science Initiative > Programming     Data Science Initiative  

Registration is required. There are 8 seats available.

Event Organizer

Profile photo of Karla Lindquist
Karla Lindquist