103 lines
2.2 KiB
Text
103 lines
2.2 KiB
Text
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: Done.freeSelf);
|
|
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;
|
|
)
|
|
::
|