Archives for category: Meta

sos4R is now on Ohloh:

Click on the “I use it’s” button to show that you use this software. Thanks!

PS: sos4R was kicked out of CRAN – I’m working on it. Apologies for any inconvenience caused, and let me know if this is an issue for you.

Thanks to the busy people at 52°North IT, there now is a Bugzilla component for sos4R available that you can use to submit bugs or feature requests. Just open this link and select the component “sos4R” to file a bug, or browse existing bugs. Looking forward for your feedback!

Screenshort of 52N Bugzilla

I most certainly should use a different system to save this link, but anyway, here is a recommendation (and reminder for myself) of a good video tutorial of how to develop packages for R using the command line, Eclipse & StatET and source code management:

Los Angeles useR meetup (Oct 25, 2011): R packages, development & productivity tools

Turn on HD to see the code better!

Many thanks to Szilard Pafka and Jeroen Ooms who provide this presentation.

I came across a very interesting white paper (to be published by the OGC in the current EarthCube development) by Ben Domenico today that does not use the term reproducible research, but pretty much talks about it in the realm of using the web for interactive scientific publications. It has some good arguments and many links to other resources – one of them the SOS, but also ERDDAP or Dryad, to name just two.

I think there are some great opportunities here to use sos4R in a web environment that I’d really like to explore, i.e. integration with RServe and/or WPS. More on that in the future!

Read the full paper:

Abstract: Imagine a scientific environment in which authors create online publications that allow readers to access, analyze, and display the data and processes discussed in the publication.  Rudimentary examples of such documents can already be cobbled together using existing technological tools in conjunction with the appropriate interface standards. Working together, the science, technology and publishing communities can build on these foundations to develop sophisticated cyber- and organizational infrastructure that will revolutionize how scientists and science educators interact with one another and with the general public.   The idea is simple: the reader of a publication will have access not only to the datasets under discussion but also to the processes used by the author to carry out the analysis and display of those datasets. The reader will be able to repeat the experiment as it is published, or perform related experiments by using different datasets or different processes.

Check out this blog article, whose title I have stolen shamelessly, because it is an interesting read: What is R, really?

The author gives a nice break up of all the details thar are mentioned in todays one-liner about R. I concur that R is more that “just statistics” and the article concludes with a new tag line for R:

R is a free and open source environment for computational research and graphics.

What do you think?

A very interesting read can be found in the New Yorker about (validity of) statistical/scientific methods, and publishing their results, summing up to a “decline effect”, which is illustrated by the following example:

One of the first demonstrations of this mysterious phenomenon Read the rest of this entry »