Nov 12th, 19th, and 26th - 2018
2:00 pm - 5:00 pm
Instructors: Nicholas Ho, Darya Vanichkina
Helpers: Richard Morris, Maryam Montazerolghaem
Welcome to the home page for the Brain & Mind Centre R workshop. It is a three day workshop covering six seperate topics that occur frequently to anyone doing pragmatic data analysis. The content is structured in such a way that the material in a section is independent to the other sections, so if you can only make part of the course this won't impact your learning. This workshop is delivered as part of a partnership between the University of Sydney's Brain and Mind Centre and the Sydney Informatics Hub.
The Sydney Informatics Hub is a Core Research Facility of the University of Sydney. SIH provides support, training, and expertise on research data, analyses and computing for research staff, students and affiliates of the University. We deliver policies, systems, advice, engineering and training to research staff, students and affiliates of the University.
Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Who: This workshop is open to all Brain and Mind Centre researchers and students ONLY
Where: Room 301/2, Building F, 94 Mallett St, Camperdown NSW 2050. Get directions with OpenStreetMap or Google Maps.
When: Nov 12th, 19th, and 26th - 2018. 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 nicholas.ho@sydney.edu.au for more information.
| 14:00 | General Introduction, Installation and Setup |
| 14:30 | Introduction to R Programming |
| 15:30 | Break |
| 15:45 | Data Structures |
| 14:00 | Controls & Loops |
| 15:30 | Break |
| 15:45 | Data Wrangling |
| 14:00 | Data visualisation |
| 15:30 | Break |
| 15:45 | Statistical Methods |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code. Course material can be found here.
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 dnf install R). Also, please install the
RStudio IDE.