2 August, 2016
9:00 am - 4:30 pm
Instructors: Belinda Weaver, Amanda Miotto
Helpers: TBA
Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is for staff of DSITI. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: DSITI, Ecosciences Precinct, Boggo Road. Get directions with OpenStreetMap or Google Maps.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have RStudio installed (listed below). They are also required to abide by Software Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers have checked that:
Contact: Please mail b.weaver@uq.edu.au for more information.
Surveys
Please be sure to complete these surveys before and after the workshop.
09:00 | R - part one |
10:30 | Morning tea |
12:00 | Lunch break |
13:00 | R - part two |
15:00 | Afternoon tea |
16:30 | Wrap-up |
Etherpad: http://pad.software-carpentry.org/dsiti-r.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
To participate in a Software Carpentry 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.
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.