Ppoisson:
Filter:
Class methods
new
Inherited class methods
Instance methods
Inherited instance methods
Undocumented instance methods
embedInStream
length
mean
Examples
Classes
|
Streams-Patterns-Events
>
Patterns
>
Random
Ppoisson
:
Pattern
:
AbstractFunction
:
Object
random values that follow a Poisson Distribution (positive integer values)
Source:
RandomDistPatterns.sc
See also:
Pgauss
Class Methods
Ppoisson.
new
(
mean: 1
,
length: inf
)
Arguments:
mean
The mean of the distribution.
length
Number of values produced.
Inherited class methods
Instance Methods
Inherited instance methods
Undocumented instance methods
.
embedInStream
(
inval
)
.
length
.
length
= value
.
mean
.
mean
= value
Examples
( var a, c, w; a = Ppoisson(1.0, inf); c = a.asStream.nextN(500); w = Window.new("Ppoisson", 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 = Ppoisson(10.0, inf); c = a.asStream.nextN(500); w = Window.new("Ppoisson", 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 = Ppoisson(1.0,inf).asStream; { loop { Synth(\help_sinegrain, [\freq, (a.next + 72).midicps]); 0.02.wait; } }.fork; ) ( var a; a = Ppoisson(7.0,inf).asStream; { loop { Synth(\help_sinegrain, [\freq, (a.next + 72).midicps]); 0.02.wait; } }.fork; )
helpfile source:
https://github.com/supercollider/supercollider/tree/3.13/HelpSource/Classes/Ppoisson.schelp
link::Classes/Ppoisson::