time-to-botec/squiggle/node_modules/@stdlib/stats/base/snanvariancetk/lib/ndarray.js
NunoSempere b6addc7f05 feat: add the node modules
Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00

91 lines
2.2 KiB
JavaScript

/**
* @license Apache-2.0
*
* Copyright (c) 2020 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
// MODULES //
var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
// MAIN //
/**
* Computes the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.
*
* @param {PositiveInteger} N - number of indexed elements
* @param {number} correction - degrees of freedom adjustment
* @param {Float32Array} x - input array
* @param {integer} stride - stride length
* @param {NonNegativeInteger} offset - starting index
* @returns {number} variance
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
* var floor = require( '@stdlib/math/base/special/floor' );
*
* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
* var N = floor( x.length / 2 );
*
* var v = snanvariancetk( N, 1, x, 2, 1 );
* // returns 6.25
*/
function snanvariancetk( N, correction, x, stride, offset ) {
var S2;
var ix;
var nc;
var S;
var v;
var n;
var i;
if ( N <= 0 ) {
return NaN;
}
if ( N === 1 || stride === 0 ) {
v = x[ offset ];
if ( v === v && N-correction > 0.0 ) {
return 0.0;
}
return NaN;
}
ix = offset;
S2 = 0.0;
S = 0.0;
n = 0;
for ( i = 0; i < N; i++ ) {
v = x[ ix ];
if ( v === v ) {
S2 = float64ToFloat32( S2 + float64ToFloat32( v*v ) );
S = float64ToFloat32( S + v );
n += 1;
}
ix += stride;
}
nc = n - correction;
if ( nc <= 0.0 ) {
return NaN;
}
return float64ToFloat32( float64ToFloat32(S2 - float64ToFloat32(float64ToFloat32(S/n)*S)) / nc ); // eslint-disable-line max-len
}
// EXPORTS //
module.exports = snanvariancetk;