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.