Important:

This course takes place over multi-sessions. The dates and times are as follows:

Session 1: Tuesday, April 15 from 09:30 AM to 12:30 PM AEST
Session 2: Wednesday, April 16 from 09:30 AM to 12:30 PM AEST

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation).

We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.

Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation.

DataFrame Manipulation using the dplyr package
DataFrame Transformation using the tidyr package
Using the Grammar of Graphics to convert data into figures using the ggplot2 package
Configuring plot elements within ggplot2
Exploring different types of plots using ggplot2

Prerequisites:

Either https://intersect.org.au/training/course/r101/">Learn to Program: R or https://intersect.org.au/training/course/r101/">Learn to Program: R and https://intersect.org.au/training/course/r110/">R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the https://intersect.org.au/training/course/r101/">Learn to Program: R and https://intersect.org.au/training/course/r110/">R for Research courses to ensure that you are familiar with the knowledge needed for this course.

Data Manipulation and Visualisation in R at WSU Online