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Dept of Science, Information Technology & Innovation

2 August, 2016

9:00 am - 4:30 pm

Instructors: Belinda Weaver, Amanda Miotto

Helpers: TBA

General Information

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:

  • The room is wheelchair / scooter accessible.
  • Accessible toilets are available.

Contact: Please mail b.weaver@uq.edu.au for more information.


Schedule

Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey

2 August

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.


Setup

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

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

Windows

Video Tutorial

Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE.

Mac OS X

Video Tutorial

Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.

Linux

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.