Are you just looking to produce a bell curve aka normal/gaussian distibution? Because [;tabname cosinesum 512 1 1( does that just fine.
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From: pete mcpartlan petemcpartlan@yahoo.co.uk To: Tebjan Halm tebjan@gmx.de, pd-list pd-list@iem.at Subject: Re: [PD] cumulative distribution? Date: Wed, 09 Nov 2005 15:52:27 +0000
thanks Tebjan,
but...its not half a cosine because it has to flatten out at both ends.
and secondly i have no idea how to take an equation like that and implement that in pd... maybe i didnt explain that i'm not too good at all that maths stuff...
thanks,
pete
Tebjan Halm wrote:
(cos(x) + 1) * c with x inside the range -Pi to 0 and c is a constant that defines the output range of the curve 0 to c ...
sorry, the output range will be 0 to 2*c ... because the cos range -1 to 1 gets shifted upwards by the +1 to 0..2 and c scales this range ...
pete mcpartlan schrieb:
hello,
i need help with a maths problem... i am trying to plot a cumulative distribution curve to weight random. I have a [random] that feeds into a chain of [moses], sililar to the markov chain example but what i want to do is have a table dump into the right inlet of each moses changing the weighting. so far so good. what i need help with is the curve which needs to make it more likely for the next result to be near the same position. the attatched patch has an array with the sort of function it should be... like an s stetched at both ends... is there a way i can do this with expr? or am i going to have to type out a list for each state? i'm sure this is probably quite a simple maths problem... but beyond me... or other ideas? might it be simpler to have a longer array with the curve is then plotted at different points back into the array... but considering i'm probably going to have 16+ of these and other stuff i want to make it as simple as possible....
thanks in advance and apologies for rambling a bit..
pete
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