Re: Demo! (was: Additional smoothing algorithm)

[Daniel F. <boy...@gm...>]

Hello,

This is a great facility, well done! This is very useful for people,  
like me, that do Monte-Carlo simulations. Now after all that hard  
work, here come the bit where people ask for improvements! I was  
thinking...

...it would be very useful, when plotting 3D data, to have projection  
on the back walls of the splot. For example, if I have some  
experimental points in 3D space which I think should be roughly follow  
a Gaussian distribution. I could make some histogram projection on to  
the back wall (xz-plane) which would bin all y points. A similar  
histogram could be bin the x and z points and project on to the yz and  
zy plane, respectively.

Having said that, it might be a bit complicated to mix 2D and 3D plots  
in this way. Maybe, this would be easily achieved simply as a 2D plot.  
i.e. 3D data goes in and a 2D projection along some specified axis  
come out as a histogram.

Dan.


On 12 May 2008, at 05:25, Philipp K. Janert wrote:
>
> I have thrown a quick demo up on my website, to
> show what this algorithm does:
> 	http://philipp-janert.com/cumulative/
>
> Best,
>
> 		Ph.
>
>
> On Sunday 11 May 2008 20:44, Philipp K. Janert wrote:
>> I have developed some code for a new smoothing
>> algorithm, which adds some functionality to gnuplot
>> which I have long been desperate for: a way to plot
>> cumulative distribution functions directly from data.
>>
>> The new algorithm is similar to (and built on top of)
>> "smooth frequency". Like "smooth frequency", it
>> sorts data points in ascending order of x-values, but
>> then replaces each y-value with the cumulative sum
>> of all y-values to the left of the current data point.
>>
>> I have submitted the code as patch 1962130.
>>
>> Please take a look and tell me what you think. The
>> changes are small and very well localized.
>>
>> Best,
>>
>> 		Ph.
>
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