On Sat, Jun 27, 2015 at 12:16 AM, Pierre CHANSON <chans.pierre@gmail.com> wrote:
Hola todos,

These days I am working on compete with R. I am taking the datasets and examples from http://cran.r-project.org/doc/contrib/Zhao_R_and_data_mining.pdf and make it with Roassal even better ! Or almost... ;)

Great PDF :-) 

First chapter first pages, the histograms... In Roassal they were not working so well.

So lately I restructured the RTDistribution package. This, by default make a classical frequency distribution, with an optimized number of classes. The method #strategyBlock: allows to change the strategy for the distribution.

I also worked on the RTHistogramSet and method #histogram of SequenceableCollection to improve a bit the looking. There  is still here some work to do  but at least the histogram works well and looks fine.

We worked with Alejandro on the algorithm of frequency distribution to make it efficient compared to the classic one (Only one iteration on datas during the algo itself).

Here are some examples, don't hesitate to try a bit and give me feedbacks if any bugs, so I can move on the next graphs ;)

#(5 3 8 6 5 4 2 9 1 2) histogram.

#(1 2 3) histogram.

#(555 1 1 2) histogram.

((1 to: 1000) collect: [:i | i atRandom ]) histogram.

I'll try these out. I suppose you use latest Roassal.

Also, I found this page and thought it was really nice animations !! http://bost.ocks.org/mike/algorithms/

Yes, that page is awesome.
I've been working on the SVG+HTML5+JS exporter in Roassal in order to integrate a graph in a webpage as a seaside component (but it can be used in other ways too) as the implementation was showing one graph on a single page and had cross browser issues. 
It works fine now. But Roassal is a moving target and integrating things back may need some work.




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