README.md

sdsmeanors

Compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using ordinary recursive summation with extended accumulation.

The arithmetic mean is defined as

$$\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i$$

Usage

var sdsmeanors = require( '@stdlib/stats/base/ndarray/sdsmeanors' );

sdsmeanors( arrays )

Computes the arithmetic mean of a one-dimensional single-precision floating-point ndarray using ordinary recursive summation with extended accumulation.

var Float32Array = require( '@stdlib/array/float32' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );

var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var v = sdsmeanors( [ x ] );
// returns 2.5

The function has the following parameters:

• arrays: array-like object containing a one-dimensional input ndarray.

Notes

• If provided an empty one-dimensional ndarray, the function returns NaN.
• Accumulated intermediate values are stored as double-precision floating-point numbers.

Examples

var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var sdsmeanors = require( '@stdlib/stats/base/ndarray/sdsmeanors' );

var xbuf = discreteUniform( 10, -50, 50, {
    'dtype': 'float32'
});
var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var v = sdsmeanors( [ x ] );
console.log( v );