Parallel Programming in R!

Have you been recently thinking you wished you knew a faster alternative to "for loops"?

Have you ever wanted to apply identical procedures simultaneously to more than 2 data sets before combining them?

If you answered yes to any of these questions, then we recommend you attend our Parallel Programming in R session!

In this tutorial we will cover base R functions that speed up computation/programming, starting with vectorisation and the "apply" function family, to more advanced parallel programming using the foreach and doParallel packages. We will also learn how to distribute a job over several cores to reduce the computation time.

This session will be run by one of our organisers, Soroor Hediyeh-zadeh. Soroor is a Research Assistant (RA) in the Davis laboratory at the Bioinformatics Division at the Walter and Eliza Hall Institute of Medical Research. She joined the Davis laboratory in 2014 as a UROP student, and was promoted to RA in 2016. She is currently doing a part-time masters degree in Statistics at the University of Melbourne.

Food and drinks will be provided, and our wonderful sponsor Zendesk will be hosting our meetup.

If you can, please bring a laptop for the session.

We hope to see everyone for this fantastic tutorial!

R-Ladies Melbourne