TITLE:: FluidStats
summary:: Rolling mean and standard devication on kr inputs
categories:: Libraries>FluidCorpusManipulation
related:: Classes/FluidBufStats, Classes/FluidStandardize

DESCRIPTION::
Computes the rolling mean and sample standard deviation over a given window for multichannel kr inputs.

This UGen does not perform multichannel expansion because (like link::Classes/BufWr::) it takes an array as input.

CLASSMETHODS::

METHOD:: kr
Run the UGen

ARGUMENT:: inputsArray
An array (or just one) kr input stream.

ARGUMENT:: size
The size of the history window to use

returns:: A 2D array of kr outputs code::[[means][standard deviations]]::

INSTANCEMETHODS::

PRIVATE:: numOutputs, initOutputs, init, channels,checkInputs

EXAMPLES::

code::
(
~gaussianNoise = { |a,b|
    var mag = (-2 * a.abs.log).sqrt;
    var f = 2 * pi * b.abs;
    [mag * f.cos, mag * f.sin]
}



{
    var src = ~gaussianNoise.value(WhiteNoise.kr,WhiteNoise.kr);
    var stats = FluidStats.kr(src,20);
    stats[0].poll(label:'means');
    stats[1].poll(label:'standard deviations');
}.play
)
::