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