Oct 5, 2017 - Oct 19, 2017
1:00 pm - 4:00 pm
Instructors: Gordon McDonald, Nicholas Ho, Anushi Shah, Maryam Montazerolghaem
Helpers: Madhura Killedar, Mashud Rana
Where: 94 Mallett St, Camperdown NSW 2050. Get directions with OpenStreetMap or Google Maps.
When: Oct 5, 2017 - Oct 19, 2017. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Contact: Please email gordon.mcdonald@sydney.edu.au for more information.
13:00 | General Introduction, Installation and Setup |
13:30 | Introduction to R Programming |
14:30 | Break |
14:45 | Data Structures |
15:45 | Day 1 Wrap Up |
13:00 | Day 1 Re-Cap |
13:30 | Controls & Loops |
14:30 | Break |
14:45 | Graphics |
15:45 | Day 2 Wrap Up |
13:00 | Day 2 Re-Cap |
13:30 | Statistical Methods |
14:30 | Break |
14:45 | Applied Analysis |
15:45 | Day 3 Wrap Up & Conclusion |
To participate in a workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base
and for Fedora run
sudo yum install R
). Also, please install the
RStudio IDE.