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.
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.
Discussions on various software tools (C, C++, Perl, Python, Unix shell, R, Matlab, SAS, SPSS, Excel, databases, Hadoop etc.) used in data analysis. Szilard Pafka (founder and co-organizer of the Los Angeles R users group) presents an overview and discusses the survey results regarding their usage by the members of the Los Angeles R users group. A plan for possible talks in the future (at LA RUG meetings) with more details on some of these tools and how they can be used with R is also discussed.
During the first part of our meeting, Nicolas Christou gave an introduction of statistical finance in R, and presented a package he co-authored with previous PhD student David Diez (2010). Video of the talk is below:
During the second part, we accommodated shorter talks outlining R users’ experiences with statistical finance in R.
Kyle Matoba, a Finance PhD student from UCLA Anderson School of Management, presented on Algorithmic Trading with R.
Bryce Little, UCLA alum, presented on Constructing Minimum Variance Portfolios with R.
During the first part of our meeting, Ryan Rosario presented on the topic of large datasets in R. Video, slides and code of the talk “Taking R to the Limit: Large Datasets” by Ryan Rosario at the Los Angeles area R Users Group in August 2010 are below.
Slides are also available for PDF download here.
R code is available here.
More information about the talk can be found here.
During the second part, Trividesh Jena presented on creating models in R for use with the Zementis ADAPA product in the cloud. The video of his talk is below.