Introduction to Programming: 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.
This workshop will run over four consecutive morning (9.00-12.30): 6th to 9th March. Please only register if you are able to fully commit to attending *all* four sessions.
What should I bring into the event?
This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed (instructions will be provided), and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended.
Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer.
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 email@example.com
What's the cancellation policy?
Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.