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.
Couple of R programming (mainly infrastructure/workflow) related topics discussed at the Los Angeles R users group in a tutorial/demo-like form (targeted mainly to beginners) by Szilard Pafka and Jeroen Ooms: how easy it is to create a simple package for your R code, the benefits of having your code in packages, documentation, automated testing and version control, the basic infrastructure R and some other software tools provide for this (CMD check, roxygen, devtools, RUnit/testthat, git/svn) and how an IDE can improve productivity.
Video (integrated slides+demo+audio) is embedded next, but we encourage you to watch it in higher resolution (especially the demo part).
More info on the meeting and about the Los Angeles R users group here. More meetings to come on further R programming and related topics such as programming with classes (S3/S4), debugging, more productivity tools etc.
Hong Ooi talks about some of the more interesting projects that he has used R for in the last year. These include fitting models for mortgage loss given default, a Monte Carlo application for stress-testing loan portfolios (in combination with Excel and SAS), a framework for calculating through-the-[economic-]cycle probabilities of default, and possibly others. He also talks about some of the challenges involved in getting R accepted in a conservative financial institution workplace.
Hong Ooi graduated from Macquarie University with a BEc in actuarial studies, then worked with NRMA Insurance/IAG in Sydney for many years. Completed a Masters in Applied Stats from Macquarie in 1997, and a PhD in statistics from ANU from 2000-2004. Displayed impeccable timing by switching jobs to St George Bank on the eve of the global financial crisis. Now with ANZ Bank in Melbourne, and adapting to the rigours of life south of the border.