Archives for posts with tag: useR

Today I gave my presentation at useR! 2011. I am not satisfied with how it went – I ran over the time by 2 minutes (which is a lot considering it was supposed to be 17 minutes) and forgot to make a main point, which is showing the XML that goes in and out of the packages! So if you’re interested, be sure to run lines 72 to 75 of the code below.

Nevertheless, Read the rest of this entry »

I am currently at useR! 2011 at the University of Warwick. It is really exciting to meet so many users of R – especially to see the people you know by name from mailing list, books, and help documents of core classes like Anthony Unwin, Brian Ripley, Paul Murrel, Rainer M. Krug, Barry Rowlingson…

I won’t write about the sessions that I visit, but let me say the variety of topics is impressive.  440 participnts – around 340 from Europe, 60 from the US, and even people from Oceania and Africa  – of any imaginable field. This is my largest conference ever, squeezing knowledge and experiences into five parallel tracks of very specific topics.

I also looking forward to the new “ligthning talks”, 5 minutes in pecha kucha style about a certain topic. Tomorrow I will give my presentation about sos4R, naturally. I really look forward to getting feedback from heavy R users and non-SWE specialists in particular. There is an eager and interested audience in every session so far, so it is hard not to have high expectations :-). We’ll see, more on that soon.

A new issue of The R Journal was recently published. It contains interesting articles for geostatisticians, for example about the package rworldmap. But it also provides a very useful Help Desk section with the two articles Presenting Your Work and Giving a useR! Talk, which come just in time for me to re-think my presentation of sos4R that I will give at useR! 2011 in Warwick. The draft version of the conference booklet was also published (take a look at page 14!).

But my personal highlight of this R Journal is on page 99 of the complete issue:

sos4R in The R Journal - Screenshot