hello Pure Data Community,
I am working on a simple patch so that I can define the probability of a trigger occurring. Right now my patch is very low resolution, its like 1/2 , 1/3 .... up through 1/10. But how could I build something that had more fine tune capacity ? SO I could define the percentile of likelihood anywhere between 1 and 100 percent probability. Here is my simple patch :

ROUGH_PROBABiLITY.pd

@WEIRD1

whoops, I was missing an inlet - here:

ROUGH_PROBABiLITY_FIX.pd

@WEIRD1 Here's one way (which could fail on 100% very very infrequently):

@jameslo said:

@WEIRD1 Here's one way (which could fail on 100% very very infrequently):

It wouldn't fail though, because [random 1000000] yields 0 to 999999, which is guaranteed to be less than 100 * 10000.

hjh

Also, past a certain point, the extra precision doesn't make much difference... diminishing returns.

(
f = { |rand = 100, pct = 25, num = 1000000|
    var sum = 0;
    num.do {
        if(rand.rand < pct) { sum = sum + 1 };
    };
    sum / num * 100
};
)

// 100 divisions
a = Array.fill(100, { f.value }); [a.minItem, a.maxItem, a.mean, a.median]
-> [24.9017, 25.1103, 24.999769, 25.0032]

// 1000000 divisions
a = Array.fill(100, { f.value(1000000, 250000, 1000000) }); [a.minItem, a.maxItem, a.mean, a.median]
-> [24.9156, 25.1133, 24.996608, 24.9942]

hjh

yeah, I am realizing that *maybe * the one I made is actually not that bad.