Introduction to R

Tue, 20/08/2019 - 09:00 to 17:00

This introduction to the statistics package, R, will cover basic coding and equip you to improve your R skills independently.

Course Overview

R is widely used and extremely powerful statistical software. This course assumes that you have never used R before. You will learn how to obtain and install R, which is open-source software, and RStudio, which is a versatile, user-friendly interface for using R.

It is very useful to do this course before our introductory statistics course, Introductory Statistics for Researchers.

This one-day introduction to R will cover some basic features of R and lay the groundwork for you to improve your R skills independently. The course is self-paced and focussed on developing practical skills.

Course Outline

We will cover:

  • calculations in R - addition, subtraction, multiplication, division, exponentiation (raising something to a power)
  • variables - how to store values so you can easily reuse them
  • types of data - different types of data structures and how to store them (e.g. numbers, text and Boolean (TRUE or FALSE) values)
  • organising R code and data so you can easily reuse them at a later date (script files and working directories)
  • efficient ways to create patterns of numbers
  • logical operators useful for manipulating data (e.g. <, >, etc.)
  • handling "spreadsheets" in R (matrices and data frames)
  • adding comments to your code so people you share code with can easily follow it
  • using inbuilt R Help files and other help resources


You will need to bring your own laptop to the workshop.

Course fees include morning tea and lunch.

You will receive a certificate of completion for the course.

Registration closing date

Event details

Seat availability
UNSW Student/Staff $125/$250, External student $450, External non-student $600


UNSW Business School (E12), Room 119
UNSW Kensington Campus

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Further Information

Upcoming events

06/03/2020 - 13:30 to 15:30
11/03/2020 - 09:30 to 16:30
17/03/2020 - 09:30 to 12:30