This is just a very small slice of the excellent talks I have attended. It was an awesome conference, thanks to the organizers, the speakers and to the participants. I’ll try to cover some more talks in a following Los Angeles R users group meetup, though the choice of topics will still be heavily biased by my main interests (and even within that subset I cannot really cover all the interesting talks). I encourage you to attend next year, so you can have it all.
This post shares the video from a talk presented on June 20 2012 by Dr
Lyndon Walker (see Meetup page).
The talk was titled “Getting staRted with R: An accelerated primer”.
To quote the outline of the talk :
R is a brilliant piece of software but learning it by yourself, particularly
if you have not used command line software before, can be daunting. This
presentation is aimed at introducing beginner to intermediate users of R to
some of the basic features of the program (through to programming a basic
function). Experienced R users are also encouraged to attend to help share
their knowledge and help the first-timers.
Lyndon Walker has been using R for nearly half his life. He studied and worked
at the UniveRsity of Auckland, the birthplace of R, and is currently a Senior
Lecturer in Applied Statistics at Swinburne University of Technology in
The following video was recorded at Melbourne R Users. A summary of the talk is as follows:
Recent advances in medical imaging allow us to routinely acquire highly detailed images of the living human brain. These images can be used to inform us about how structural and functional changes in the brain are associated with disease and the environment. The wealth of information captured with these imaging methods has lead to additional challenges in processing and interpreting the data. In this talk I will describe how an MRI scan is acquired; how image analysis techniques help us understand neurological disorders, with a focus on epilepsy; and some challenges that face medical image analysis. Along the way I will talk about how R has helped my research.
Heath Pardoe is a postdoc at the Florey Neuroscience Institutes. He started out doing experimental physics, but would now almost describe himself as a neuroscientist. He uses image analysis methods to explore facets of the relationship between brain changes and neurological disorders. The primary neurological disorder he investigates is epilepsy. His current research interests include how the structure of the brain may be different in people with epilepsy, the impact of epileptic seizures on the brain, and how the brain changes during treatment with antiepileptic medication.
The following video was filmed at Melbourne R Users.
The description of the talk from the meetup site:
Eu Jin is a Senior Analyst with Deloitte Analytics in Melbourne. He has over four years experience in data mining and statistical modelling in various industries, developing solutions to solve difficult problems. Prior to joining Deloitte, Eu Jin worked for NAB (National Australia Bank) and TNS in marketing research.
Other than being a senior analyst at Deloitte, Eu Jin is also a competitive data miner (he recently won a Kaggle competition on credit scoring with fellow MelbURNian Alec Stephenson). In this presentation he’ll talk about the benefits of R from a data mining competitor’s point of view and from the point of view of an employee at Deloitte. The key insight from his experiences with R is that although R is the top favourite for recreational use, it’s not quite there yet for full commercial deployment. He’ll show what are some of the good things that R does well and some that it doesn’t do quite well, from his experience working in Deloitte versus using it for recreational purposes.
This post shares the video from the talk presented On November 30 2011 by Dr
Lyndon Walker (see Meetup page) at
the end of year function for Melbourne R Users. Lyndon Walker
(@lyndonwalker) has been using R for
nearly half his life. He studied and worked at the UniveRsity of Auckland, the
birthplace of R, so he has witnessed some the history of its development. In
this presentation he shares his reflections, anecdotes, and tips for getting the
most out of R. Lyndon is currently a Senior Lecturer in Statistics at Swinburne
University of Technology, and he also plays guitar and indoor soccer.
On September 14th 2011
Dr Alec Stephenson gave a talk on exploring spatial data with R
(see Meetup page). The video of the talk is now available online.
The talk provides a non-mathematical and entirely equation-free talk on
visualizing and analysing spatial data in R. Alec discusses the different types of
spatial data, the main R packages needed for the analysis of those types, and
present a selection of examples from a wide range of application areas. He
briefly illustrates how R can be used to visualize data in other software such as
Google Earth and Quantum GIS. He also looks at geological data, rainforests, cancer
cases, biological cells, and maps Australian states.
Alec Stephenson is a Lecturer at Swinburne University of Technology, a former
Assistant Professor at the National University of Singapore and a former
post-doc at Macquarie University. Alec is a mathematician, statistician and
programmer, and wrote several R packages when he was a PhD student at Lancaster
University, U.K., following undergraduate training at Warwick and Oxford. These
days he selfishly only writes code for himself, and has given all his publicly
available software away to other people who are younger and cleverer. He is
looking forward to becoming an Australian citizen in 2012.
Many thanks to Deloitte for providing an excellent venue.