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Randomizing Methods

for getting smooth random distributions, try extRand.sc.
These methods are not fully statistically tested, but I hope they are accurate.

nrand:

nrand creates a linear probability envelope over the values (nodes).
use like
x = [0, 0, 0.3, 1, 0.2, 0, 0];//values (x-axis)
y = [1, 1, 1, 2.5, 0.2, 1];//weights (y-axis)
x.nrand(y)
or: nrand(x,y)

frand:

frand uses a function as a probabilty envelope.
use like
{ arg x; sin(x) }.frand(0, pi/2, 0, 1)

an extension for Chad Kirby's SeedyRand: extSeedyRand.sc



{ arg x; sin(x) }.frand.postln;
0.334556
0.20253
0.987335
0.992417
0.767358
0.917958
0.850005
0.417776
0.744946
0.690959
0.247141
0.732695
0.9319
0.931571
0.590735
0.510067
0.927944
0.90651
0.878975
0.891195
0.699155
0.847736


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