This post shares the video from a talk presented on 20th November 2012 by Professor Rob Hyndman at Melbourne R Users. The talk provides an introduction to:

Getting R help

Debugging R functions

R style guides

Making good use of Rprofiles.

Having a good R workflow

Version control facilities

Using R with LaTeX (without using sweave or knitr)

Turning functions into packages

Prof Rob J Hyndman has used R and its predecessors (S and S+) almost every working day (and some weekends) for the past 25 years. He thought it might be helpful to discuss some of what he has learned and the tricks and tools that he uses. Topics to be discussed will possibly include:

Rob J Hyndman is Professor of Statistics at Monash University and Director of the Monash University Business and Economic Forecasting Unit. He completed a science degree at the University of Melbourne in 1988 and a PhD on nonlinear time series modelling at the same university in 1992. He has worked at the University of Melbourne, Colorado State University, the Australian National University and Monash University. Rob is Editor-in-Chief of the ‚ÄúInternational Journal of Forecasting‚Äù and a Director of the International Institute of Forecasters. He has written over 100 research papers in statistical science. In 2007, he received the Moran medal from the Australian Academy of Science for his contributions to statistical research. Rob is co-author of the well-known textbook ‚ÄúForecasting: methods and applications‚Äù (Wiley, 3rd ed., 1998) and of the book ‚ÄúForecasting with exponential smoothing: the state space approach‚Äù (Springer, 2008). He is also the author of the widely-used ‚Äúforecast‚Äù package for R. For over 25 years, Rob has maintained an active consulting practice, assisting hundreds of companies and organizations on forecasting problems. His recent consulting work has involved forecasting electricity demand, tourism demand and the Australian government health budget. More information is available on his website at robjhyndman.com.

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.

This presentation will be interactive, so if you are able to bring a laptop
with R ( http://cran.r-project.org/ ) already installed this will help you
participate (but is not mandatory). Two other handy pieces of software are
the R Studio development interface ( http://rstudio.org/ ) and the Tinn-R
text editor ( http://sourceforge.net/projects/tinn-r/ ), both of which help
you to organise and save your R code.

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
Melbourne.