Pcauchy | SuperCollider 3.13.0 Help

Class Methods

Pcauchy.new(mean: 0.0, spread: 1.0, length: inf)

Arguments:

mean	The mean of the distribution.
spread	The horizontal dispersion of the random values. The distribution is unbounded.
length	Number of values produced.

(
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;
)

helpfile source: https://github.com/supercollider/supercollider/tree/3.13/HelpSource/Classes/Pcauchy.schelp
link::Classes/Pcauchy::

Pcauchy : Pattern : AbstractFunction : Object

Class Methods

Pcauchy.new(mean: 0.0, spread: 1.0, length: inf)

Arguments:

Inherited class methods

Instance Methods

Inherited instance methods

Undocumented instance methods

.embedInStream(inval)

.length

.length = value

.mean

.mean = value

.spread

.spread = value

Examples