rsc3/doc-schelp/HelpSource/Classes/Pcauchy.schelp

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class:: Pcauchy
summary:: random values that follow a Cauchy Distribution
related:: Classes/BrownNoise, Classes/Pbrown
categories:: Streams-Patterns-Events>Patterns>Random
ClassMethods::
method::new
argument::mean
The mean of the distribution.
argument::spread
The horizontal dispersion of the random values. The distribution is unbounded.
argument::length
Number of values produced.
Examples::
code::
(
var a, c, w;
a = Pcauchy(0.0, 1.0, inf);
c = a.asStream.nextN(500);
w = Window.new("Pcauchy", 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 = Pcauchy(0.0, 10.0, 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 = Pcauchy(0.0, 1.0,inf).asStream;
{
loop {
Synth(\help_sinegrain, [\freq, a.next * 600 + 300]);
0.02.wait;
}
}.fork;
)
::