Introduction to R

Overview

Instructor: Wesley Brashear

Time: Friday, March 25, 10:00AM-4:00PM (with a one hour lunch break)

Location: Blocker 220 and online using Zoom

Prerequisites: Unix/Linux skills. HPRC account.

This course introduces R as a tool for statistical computing. Topics to be covered include variables, vectors, matrices, data frames, and data visualization.

Course Materials

  • Introduction to R Presentation Slides (Spring 2022): PDF

Previous Material

  • Introduction to R Presentation Slides (Spring 2020): PDF
  • Introduction to R Presentation Slides (Fall 2019): PDF
  • Introduction to R Presentation Slides (RCS 2019): PDF
  • Introduction to R Presentation Slides (Spring 2019): PDF
  • Introduction to R Presentation Slides (Fall 2018): PDF
  • Introduction to R Presentation Slides (Spring 2018): PDF

Agenda

This course focuses, among others, on the following topics:

  • Data manipulation
  • Making functions (reusable code)
  • Sample experiments
  • Working with packages

Note: During the class sessions many aspects of the material will be illustrated live via a login to Terra or Grace. You are encouraged to contact the HPRC helpdesk with any questions regarding cluster accounts.