R for Reproducible Scientific Analysis

This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.

FAQs

What should I bring into the event?

Training computers are available, but we highly recommend you bring your own laptop with wireless internet access (ideally configured for the Eduroam network) and with R and RStudio pre-installed

What prior experience do I need?

No specific experience is required, although previous use of the command line interface can be helpful

Who should attend?

Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines.

How can I contact the organiser with any questions?

You can email training@qcif.edu.au

What's the refund policy?

Refunds can be obtained up to 7 days before the event. Booking costs (approx 6% of fee) are non-refundable.