Very nice article! I loved it.

BR,
Wim.

2011/12/2 Dirk Eddelbuettel <e...@debian.org>:
>
> Not sure if this is of interest to many readers here as the focus is little
> more on statistical and/or quantitative analysis --- but I blogged about a
> little app I wrote as first Wt proof-of-concept, and directly mimicking a Qt
> app I done earlier in the year.
>
> The one neat thing that both of these have is that they directly embed the
> GNU R statistical engine in the application.  That works thanks to an one
> or two R / C++ integration packages I am involved with.
>
> Yesterday's post is here:
>
>  http://dirk.eddelbuettel.com/blog/2011/11/30#rinside_and_wt
>
> and it has a link to the preceding post with screenshot of the Qt application
> (and its code examples). The new code is so far only in RInside SVN on 
> R-Forge.
>
> The app is currently running on my box at the URL shown in the screenshot, but
> I will probably take it down in a few days.
>
> Comments and suggestions welcome. I tried dressing it up a little with css/js
> but no luck so far.  This uses Pau's nice packages (with the recent Jquery
> fix) on Ubuntu 11.10, I may simply not have extJs installed at all or in
> the right place. Pointers welcome.
>
> Thanks go out to Pau for the packages and a number of helpful emails, and to
> Wim for an important pointer to getting the updated png file pushed to the
> client.
>
> Cheers,  Dirk
>
>
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All the data continuously generated in your IT infrastructure 
contains a definitive record of customers, application performance, 
security threats, fraudulent activity, and more. Splunk takes this 
data and makes sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-novd2d
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