Data Analysis and Visualization with R
This is the website for courses and workshops on R for Data Analysis held at the Hawkesbury Institute for the Environment (HIE).
On this page you will find information for the five-day R course held twice a year. For general information on this course, including registration and transport, please visit the site hosted by the HIE. Follow 'Workshops' in the menu on the right for information on a number of shorter workshops on Advanced Topics in R.
Download the book 'Data analysis and visualization with R' by Remko Duursma, Jeff Powell, and Glenn Stone below. This book is used in the HIE R Course, and includes exercises at the end of each chapter.
The AM session runs from 9:30-12:30, the PM session from 13:30-16:30.
| Monday | AM | Basics of R (Chapter 1 and 2) |
| PM | Special data types (Chapter 3), Project Management and Workflow (Chapter 9) | |
| Tuesday | AM | Visualizing data (Chapter 4) |
| PM | Basic statistics (Chapter 5), External resources (Chapter 11) | |
| Wednesday | AM | Summarizing and tabulating data (Chapter 6) |
| PM | Linear modelling (Chapter 7) | |
| Thursday | AM | Programming : functions, lists and loops (Chapter 8) |
| PM | Visualizing Data – Part 2 (web resource) | |
| Friday | AM | Reviewing Earlier Topics, Demonstrating Extra Topics |
| PM | Time to work on own data, or self-study of a variety of additional topics. |
In addition to the five-day course held twice a year, we also organize ad-hoc workshops in Advanced Topics in R. Follow the links below for learning materials and other resources for the workshops. Everything is available free of charge.
Jeff Powell is at the Hawkesbury Institute for the Environment at Western Sydney University. Remko Duursma is a freelance R trainer and consultant in the Netherlands and worked at Western Sydney University until 2018.
Jeff's research interests centre on understanding community assembly processes, particularly in the context of soil ecology and plant-microbe interactions, and relating these to ecosystem function. Since 2005, he has been using R to pursue these interests, using a variety of approaches in ecological informatics. His publications can be found here.
While at the HIE, Remko's research interests centred on understanding vegetation structure and function with models and data, including water use, carbon uptake, canopy structure, and radiation absorption of trees and forests. He now uses the data science skills that he developed to train others, with a focus on direct application. Visit his website here.