/usr/share/SuperCollider/HelpSource/Classes/Pbeta.schelp is in supercollider-common 1:3.8.0~repack-2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 | class:: Pbeta
summary:: random values that follow a Eulerian Beta Distribution
categories:: Streams-Patterns-Events>Patterns>Random
ClassMethods::
method::new
argument::lo
lower boundary of values.
argument::hi
upper boundary of values.
argument::prob1
The probability that a value will occur near lo. <1, probability of a value near lo increases. =1, uniform dist. >1 will create a bounded Gaussian-like distribution.
argument::prob2
The probability that a value will occur near hi. <1, probability of a value near lo increases. =1, uniform dist. >1 will create a bounded Gaussian-like distribution.
argument::length
number of values produced (default: inf).
Examples::
code::
(
var a, c, w;
a = Pbeta(0.0, 1.0, 0.1, 0.1, inf);
c = a.asStream.nextN(500);
w = Window.new("Pbetarand", Rect(10, 10, 540, 800));
// plot the values
c.plot(bounds: Rect(10, 10, 520, 380), discrete: true, parent: w);
// a histogram of the values
c.histo(500).plot(bounds: Rect(10, 410, 520, 380), parent: w);
)
(
var a, c, w;
a = Pbeta(0.0, 1.0, 1, 1, inf);
c = a.asStream.nextN(500);
w = Window.new("Pbetarand", Rect(10, 10, 540, 800));
// plot the values
c.plot(bounds: Rect(10, 10, 520, 380), discrete: true, parent: w);
// a histogram of the values
c.histo(500).plot(bounds: Rect(10, 410, 520, 380), parent: w);(discrete: true);
)
(
var a, c, w;
a = Pbeta(0.0, 1.0, 3, 3, inf);
c = a.asStream.nextN(500);
w = Window.new("Pbetarand", Rect(10, 10, 540, 800));
// plot the values
c.plot(bounds: Rect(10, 10, 520, 380), discrete: true, parent: w);
// a histogram of the values
c.histo(500).plot(bounds: Rect(10, 410, 520, 380), parent: w);
)
// sound example
(
SynthDef(\help_sinegrain,
{ arg out=0, freq=440, sustain=0.05;
var env;
env = EnvGen.kr(Env.perc(0.01, sustain, 0.2), doneAction:2);
Out.ar(out, SinOsc.ar(freq, 0, env))
}).add;
)
(
var a;
a = Pbeta(0.0, 1.0, 0.1, 0.1, inf).asStream;
{
loop {
Synth(\help_sinegrain, [\freq, a.next * 600 + 300]);
0.02.wait;
}
}.fork;
)
(
var a;
a = Pbeta(0.0, 1.0, 1.0, 1.0, inf).asStream;
{
loop {
Synth(\help_sinegrain, [\freq, a.next * 600 + 300]);
0.02.wait;
}
}.fork;
)
(
var a;
a = Pbeta(0.0, 1.0, 3.0, 3.0, inf).asStream;
{
loop {
Synth(\help_sinegrain, [\freq, a.next * 600 + 300]);
0.02.wait;
}
}.fork;
)
::
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