2 summary:: random values with uniform distribution
3 related:: Classes/Pgauss
4 categories:: Streams-Patterns-Events>Patterns>Random
11 lower boundary of values.
14 upper boundary of values.
17 number of values produced.
24 a = Pwhite(0.0, 1.0, inf);
25 c = a.asStream.nextN(500);
26 w = Window.new("Pwhite", Rect(10, 10, 540, 800));
28 c.plot(bounds: Rect(10, 10, 520, 380), discrete: true, parent: w);
29 // a histogram of the values
30 c.histo(500).plot(bounds: Rect(10, 410, 520, 380), parent: w);
35 a = Pwhite(0.0, 1.0, inf);
36 a.asStream.nextN(1000).plot;
42 SynthDef(\help_sinegrain,
43 { arg out=0, freq=440, sustain=0.05;
45 env = EnvGen.kr(Env.perc(0.01, sustain, 0.2), doneAction:2);
46 Out.ar(out, SinOsc.ar(freq, 0, env))
53 a = Pwhite(0.0, 1.0, inf).asStream;
56 Synth(\help_sinegrain, [\freq, a.next * 600 + 300]);
62 // this is equivalent to:
66 Synth(\help_sinegrain, [\freq, rrand(0.0, 1.0) * 600 + 300]);