diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/README.md b/lib/node_modules/@stdlib/stats/incr/nanmrmse/README.md new file mode 100644 index 000000000000..2fbbaefb56a0 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/README.md @@ -0,0 +1,175 @@ + + +# incrnanmrmse + +> Compute a moving [root mean squared error][root-mean-squared-error] (RMSE) incrementally, ignoring `NaN` values. + +
+ +For a window of size `W`, the [**root mean squared error**][root-mean-squared-error] (also known as the **root mean square error** (RMSE) and **root mean square deviation** (RMSD)) is defined as + + + +```math +\mathop{\mathrm{RMSE}} = \sqrt{ \frac{1}{W} \sum_{i=0}^{W-1} (y_i - x_i)^2 } +``` + + + + + +
+ + + +
+ +## Usage + +```javascript +var incrnanmrmse = require( '@stdlib/stats/incr/nanmrmse' ); +``` + +#### incrnanmrmse( window ) + +Returns an accumulator `function` which incrementally computes a moving [root mean squared error][root-mean-squared-error]. The `window` parameter defines the number of values over which to compute the moving [root mean squared error][root-mean-squared-error], ignoring `NaN` values. + +```javascript +var accumulator = incrnanmrmse( 3 ); +``` + +#### accumulator( \[x, y] ) + +If provided input values `x` and `y`, the accumulator function returns an updated [root mean squared error][root-mean-squared-error]. If not provided input values `x` and `y`, the accumulator function returns the current [root mean squared error][root-mean-squared-error]. + +```javascript +var accumulator = incrnanmrmse( 3 ); + +var r = accumulator(); +// returns null + +// Fill the window... +r = accumulator( 2.0, 3.0 ); // [(2.0,3.0)] +// returns 1.0 + +r = accumulator( 1.0, NaN ); // [(2.0,3.0)] +// returns 1.0 + +r = accumulator( -1.0, 4.0 ); // [(2.0,3.0), (-1.0,4.0)] +// returns ~3.61 + +r = accumulator( 3.0, 9.0 ); // [(2.0,3.0), (-1.0,4.0), (3.0,9.0)] +// returns ~4.55 + +// Window begins sliding... +r = accumulator( -7.0, 3.0 ); // [(-1.0,4.0), (3.0,9.0), (-7.0,3.0)] +// returns ~7.33 + +r = accumulator( -5.0, -3.0 ); // [(3.0,9.0), (-7.0,3.0), (-5.0,-3.0)] +// returns ~6.83 + +r = accumulator(); +// returns ~6.83 +``` + +
+ + + +
+ +## Notes + +- Input values are **not** type checked. If non-numeric inputs are possible, you are advised to type check and handle accordingly **before** passing the value to the accumulator function. +- As `W` (x,y) pairs are needed to fill the window buffer, the first `W-1` returned values are calculated from smaller sample sizes. Until the window is full, each returned value is calculated from all provided values. + +
+ + + +
+ +## Examples + + + +```javascript +var randu = require( '@stdlib/random/base/randu' ); +var incrnanmrmse = require( '@stdlib/stats/incr/nanmrmse' ); + +var accumulator; +var v1; +var v2; +var i; + +// Initialize an accumulator: +accumulator = incrnanmrmse( 5 ); + +// For each simulated datum, update the moving root mean squared error... +for ( i = 0; i < 100; i++ ) { + if ( randu() < 0.2 ) { + v1 = NaN; + v2 = NaN; + } else { + v1 = ( randu()*100.0 ) - 50.0; + v2 = ( randu()*100.0 ) - 50.0; + } + accumulator( v1, v2 ); +} +console.log( accumulator() ); +``` + +
+ + + + + + + + + + + + + + diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/incr/nanmrmse/benchmark/benchmark.js new file mode 100644 index 000000000000..f6c1ac7ac646 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/benchmark/benchmark.js @@ -0,0 +1,69 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 bench = require( '@stdlib/bench' ); +var randu = require( '@stdlib/random/base/randu' ); +var pkg = require( './../package.json' ).name; +var incrnanmrmse = require( './../lib' ); + + +// MAIN // + +bench( pkg, function benchmark( b ) { + var f; + var i; + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + f = incrnanmrmse( (i%5)+1 ); + if ( typeof f !== 'function' ) { + b.fail( 'should return a function' ); + } + } + b.toc(); + if ( typeof f !== 'function' ) { + b.fail( 'should return a function' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); + +bench( pkg+'::accumulator', function benchmark( b ) { + var acc; + var v; + var i; + + acc = incrnanmrmse( 5 ); + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = acc( randu()-0.5, randu()-0.5 ); + if ( v !== v ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( v !== v ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/img/equation_root_mean_squared_error.svg b/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/img/equation_root_mean_squared_error.svg new file mode 100644 index 000000000000..4e8a0dcf5b6a --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/img/equation_root_mean_squared_error.svg @@ -0,0 +1,75 @@ + +upper R upper M upper S upper E equals StartRoot StartFraction 1 Over upper W EndFraction sigma-summation Underscript i equals 0 Overscript upper W minus 1 Endscripts left-parenthesis y Subscript i Baseline minus x Subscript i Baseline right-parenthesis squared EndRoot + + + \ No newline at end of file diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/repl.txt b/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/repl.txt new file mode 100644 index 000000000000..dd916c3860fb --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/repl.txt @@ -0,0 +1,47 @@ + +{{alias}}( W ) + Returns an accumulator function which incrementally computes a moving root + mean squared error (RMSE), ignoring 'NaN' values. + + The `W` parameter defines the number of values over which to compute the + moving root mean squared error. + + If provided a value, the accumulator function returns an updated moving root + mean squared error. If not provided a value, the accumulator function + returns the current moving root mean squared error. + + As `W` values are needed to fill the window buffer, the first `W-1` returned + values are calculated from smaller sample sizes. Until the window is full, + each returned value is calculated from all provided values. + + Parameters + ---------- + W: integer + Window size. + + Returns + ------- + acc: Function + Accumulator function. + + Examples + -------- + > var accumulator = {{alias}}( 3 ); + > var r = accumulator() + null + > r = accumulator( 2.0, 3.0 ) + 1.0 + > r = accumulator( 1.0, NaN ) + 1.0 + > r = accumulator( -5.0, 2.0 ) + 5.0 + > r = accumulator( 3.0, 2.0 ) + ~4.12 + > r = accumulator( 5.0, -2.0 ) + ~5.74 + > r = accumulator() + ~5.74 + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/types/index.d.ts new file mode 100644 index 000000000000..90f9fe1b6510 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/types/index.d.ts @@ -0,0 +1,73 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +// TypeScript Version: 4.1 + +/// + +/** +* If provided input values, the accumulator function returns an updated root mean squared error. If not provided input values, the accumulator function returns the current root mean squared error. +* +* @param x - input value +* @param y - input value +* @returns root mean squared error or null +*/ +type accumulator = ( x?: number, y?: number ) => number | null; + +/** +* Returns an accumulator function which incrementally computes a moving root mean squared error, ignoring `NaN` values. +* +* ## Notes +* +* - The `W` parameter defines the number of values over which to compute the moving root mean squared error. +* - As `W` values are needed to fill the window buffer, the first `W-1` returned values are calculated from smaller sample sizes. Until the window is full, each returned value is calculated from all provided values. +* +* @param W - window size +* @throws must provide a positive integer +* @returns accumulator function +* +* @example +* var accumulator = incrnanmrmse( 3 ); +* +* var r = accumulator(); +* // returns null +* +* r = accumulator( 2.0, 3.0 ); +* // returns 1.0 +* +* r = accumulator( 1.0, NaN ); +* // returns 1.0 +* +* r = accumulator( -5.0, 2.0 ); +* // returns 5.0 +* +* r = accumulator( 3.0, 2.0 ); +* // returns ~4.12 +* +* r = accumulator( 5.0, -2.0 ); +* // returns ~5.74 +* +* r = accumulator(); +* // returns ~5.74 +*/ +declare function incrnanmrmse( W: number ): accumulator; + + +// EXPORTS // + +export = incrnanmrmse; diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/types/test.ts b/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/types/test.ts new file mode 100644 index 000000000000..833f4763b60f --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/docs/types/test.ts @@ -0,0 +1,74 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +import incrnanmrmse = require( './index' ); + + +// TESTS // + +// The function returns an accumulator function... +{ + incrnanmrmse( 3 ); // $ExpectType accumulator +} + +// The compiler throws an error if the function is provided an argument which is not a number... +{ + incrnanmrmse( '5' ); // $ExpectError + incrnanmrmse( true ); // $ExpectError + incrnanmrmse( false ); // $ExpectError + incrnanmrmse( null ); // $ExpectError + incrnanmrmse( undefined ); // $ExpectError + incrnanmrmse( [] ); // $ExpectError + incrnanmrmse( {} ); // $ExpectError + incrnanmrmse( ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the function is provided an invalid number of arguments... +{ + incrnanmrmse(); // $ExpectError + incrnanmrmse( 2, 3 ); // $ExpectError +} + +// The function returns an accumulator function which returns an accumulated result... +{ + const acc = incrnanmrmse( 3 ); + + acc(); // $ExpectType number | null + acc( 3.14, 2.0 ); // $ExpectType number | null +} + +// The compiler throws an error if the returned accumulator function is provided invalid arguments... +{ + const acc = incrnanmrmse( 3 ); + + acc( '5', 2.0 ); // $ExpectError + acc( true, 2.0 ); // $ExpectError + acc( false, 2.0 ); // $ExpectError + acc( null, 2.0 ); // $ExpectError + acc( [], 2.0 ); // $ExpectError + acc( {}, 2.0 ); // $ExpectError + acc( ( x: number ): number => x, 2.0 ); // $ExpectError + + acc( 3.14, '5' ); // $ExpectError + acc( 3.14, true ); // $ExpectError + acc( 3.14, false ); // $ExpectError + acc( 3.14, null ); // $ExpectError + acc( 3.14, [] ); // $ExpectError + acc( 3.14, {} ); // $ExpectError + acc( 3.14, ( x: number ): number => x ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/examples/index.js b/lib/node_modules/@stdlib/stats/incr/nanmrmse/examples/index.js new file mode 100644 index 000000000000..ec3ac6e5cab6 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/examples/index.js @@ -0,0 +1,45 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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'; + +var randu = require( '@stdlib/random/base/randu' ); +var incrnanmrmse = require( './../lib' ); + +var accumulator; +var rmse; +var v1; +var v2; +var i; + +// Initialize an accumulator: +accumulator = incrnanmrmse( 5 ); + +// For each simulated datum, update the moving root mean squared error... +console.log( '\nValue\tValue\tRMSE\n' ); +for ( i = 0; i < 100; i++ ) { + if ( randu() < 0.2 ) { + v1 = NaN; + v2 = NaN; + } else { + v1 = ( randu()*100.0 ) - 50.0; + v2 = ( randu()*100.0 ) - 50.0; + } + rmse = accumulator( v1, v2 ); + console.log( '%d\t%d\t%d', v1.toFixed( 3 ), v2.toFixed( 3 ), ( rmse === null )? NaN : rmse.toFixed( 3 ) ); +} diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/lib/index.js b/lib/node_modules/@stdlib/stats/incr/nanmrmse/lib/index.js new file mode 100644 index 000000000000..a693c9cbe87b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/lib/index.js @@ -0,0 +1,60 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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'; + +/** +* Compute a moving root mean squared error (RMSE) incrementally. +* +* @module @stdlib/stats/incr/nanmrmse +* +* @example +* var incrnanmrmse = require( '@stdlib/stats/incr/nanmrmse' ); +* +* var accumulator = incrnanmrmse( 3 ); +* +* var r = accumulator(); +* // returns null +* +* r = accumulator( 2.0, 3.0 ); +* // returns 1.0 +* +* r = accumulator( 1.0, NaN ); +* // returns 1.0 +* +* r = accumulator( -5.0, 2.0 ); +* // returns 5.0 +* +* r = accumulator( 3.0, 2.0 ); +* // returns ~4.12 +* +* r = accumulator( 5.0, -2.0 ); +* // returns ~5.74 +* +* r = accumulator(); +* // returns ~5.74 +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/lib/main.js b/lib/node_modules/@stdlib/stats/incr/nanmrmse/lib/main.js new file mode 100644 index 000000000000..df32f2eb9af4 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/lib/main.js @@ -0,0 +1,83 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 incrmrmse = require( '@stdlib/stats/incr/mrmse' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); + + +// MAIN // + +/** +* Returns an accumulator function which incrementally computes a moving root mean squared error. +* +* @param {PositiveInteger} W - window size +* @throws {TypeError} must provide a positive integer +* @returns {Function} accumulator function +* +* @example +* var accumulator = incrnanmrmse( 3 ); +* +* var r = accumulator(); +* // returns null +* +* r = accumulator( 2.0, 3.0 ); +* // returns 1.0 +* +* r = accumulator( 1.0, NaN ); +* // returns 1.0 +* +* r = accumulator( -5.0, 2.0 ); +* // returns 5.0 +* +* r = accumulator( 3.0, 2.0 ); +* // returns ~4.12 +* +* r = accumulator( 5.0, -2.0 ); +* // returns ~5.74 +* +* r = accumulator(); +* // returns ~5.74 +*/ +function incrnanmrmse( W ) { + var mrmse = incrmrmse( W ); + return accumulator; + + /** + * If provided input values, the accumulator function returns an updated root mean squared error. If not provided input values, the accumulator function returns the current root mean squared error. + * + * @private + * @param {number} [x] - input value + * @param {number} [y] - input value + * @returns {(number|null)} root mean squared error or null + */ + function accumulator( x, y ) { + if ( arguments.length === 0 || isnan( x ) || isnan( y ) ) { + return mrmse(); + } + return mrmse( x, y ); + } +} + + +// EXPORTS // + +module.exports = incrnanmrmse; diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/package.json b/lib/node_modules/@stdlib/stats/incr/nanmrmse/package.json new file mode 100644 index 000000000000..727470beeecb --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/package.json @@ -0,0 +1,85 @@ +{ + "name": "@stdlib/stats/incr/nanmrmse", + "version": "0.0.0", + "description": "Compute a moving root mean squared error (RMSE) incrementally.", + "license": "Apache-2.0", + "author": { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + }, + "contributors": [ + { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + } + ], + "main": "./lib", + "directories": { + "benchmark": "./benchmark", + "doc": "./docs", + "example": "./examples", + "lib": "./lib", + "test": "./test" + }, + "types": "./docs/types", + "scripts": {}, + "homepage": "https://github.com/stdlib-js/stdlib", + "repository": { + "type": "git", + "url": "git://github.com/stdlib-js/stdlib.git" + }, + "bugs": { + "url": "https://github.com/stdlib-js/stdlib/issues" + }, + "dependencies": {}, + "devDependencies": {}, + "engines": { + "node": ">=0.10.0", + "npm": ">2.7.0" + }, + "os": [ + "aix", + "darwin", + "freebsd", + "linux", + "macos", + "openbsd", + "sunos", + "win32", + "windows" + ], + "keywords": [ + "stdlib", + "stdmath", + "statistics", + "stats", + "mathematics", + "math", + "error", + "err", + "rmse", + "rmsd", + "mse", + "msd", + "residuals", + "squares", + "deviation", + "difference", + "diff", + "delta", + "incremental", + "accumulator", + "sliding window", + "sliding", + "window", + "moving", + "time series", + "timeseries", + "forecasting", + "forecast", + "model", + "selection", + "evaluation", + "prediction" + ] +} diff --git a/lib/node_modules/@stdlib/stats/incr/nanmrmse/test/test.js b/lib/node_modules/@stdlib/stats/incr/nanmrmse/test/test.js new file mode 100644 index 000000000000..3335a7e0a92c --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmrmse/test/test.js @@ -0,0 +1,262 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 tape = require( 'tape' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var abs = require( '@stdlib/math/base/special/abs' ); +var sqrt = require( '@stdlib/math/base/special/sqrt' ); +var EPS = require( '@stdlib/constants/float64/eps' ); +var incrnanmrmse = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof incrnanmrmse, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function throws an error if not provided a positive integer', function test( t ) { + var values; + var i; + + values = [ + '5', + -5.0, + 0.0, + 3.14, + true, + null, + void 0, + NaN, + [], + {}, + function noop() {} + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[i] ), TypeError, 'throws an error when provided '+values[i] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + incrnanmrmse( value ); + }; + } +}); + +tape( 'the function returns an accumulator function', function test( t ) { + t.equal( typeof incrnanmrmse( 3 ), 'function', 'returns a function' ); + t.end(); +}); + +tape( 'the accumulator function computes a moving root mean squared error incrementally', function test( t ) { + var expected; + var actual; + var delta; + var data; + var acc; + var tol; + var N; + var i; + + data = [ + [ 2.0, 3.0 ], + [ 3.0, -1.0 ], + [ 2.0, 5.0 ], + [ 4.0, -4.0 ], + [ 3.0, 0.0 ], + [ -4.0, 5.0 ] + ]; + N = data.length; + + acc = incrnanmrmse( 3 ); + + expected = [ + 1.0, + sqrt( 17.0/2.0 ), + sqrt( 26.0/3.0 ), + sqrt( 89.0/3.0 ), + sqrt( 82.0/3.0 ), + sqrt( 154.0/3.0 ) + ]; + for ( i = 0; i < N; i++ ) { + actual = acc( data[i][0], data[i][1] ); + if ( actual === expected[i] ) { + t.equal( actual, expected[i], 'returns expected value' ); + } else { + delta = abs( expected[i] - actual ); + tol = 1.0 * EPS * abs( expected[i] ); + t.equal( delta <= tol, true, 'within tolerance. Actual: '+actual+'. Expected: '+expected[i]+'. Delta: '+delta+'. Tol: '+tol+'.' ); + } + } + t.end(); +}); + +tape( 'if not provided an input value, the accumulator function returns the current root mean squared error', function test( t ) { + var data; + var acc; + var i; + + data = [ + [ 2.0, 3.0 ], + [ 3.0, -5.0 ], + [ 1.0, 10.0 ] + ]; + acc = incrnanmrmse( 2 ); + for ( i = 0; i < data.length; i++ ) { + acc( data[i][0], data[i][1] ); + } + t.equal( acc(), sqrt( 145.0/2.0 ), 'returns expected value' ); + t.end(); +}); + +tape( 'if data has yet to be provided, the accumulator function returns `null`', function test( t ) { + var acc = incrnanmrmse( 3 ); + t.equal( acc(), null, 'returns null' ); + t.end(); +}); + +tape( 'if provided `NaN`, the accumulated value remains unchanged for at least `W` invocations', function test( t ) { + var expected; + var data; + var acc; + var v; + var i; + + expected = [ + null, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0 + ]; + + data = [ + [ NaN, 3.14 ], // null + [ 3.14, 3.14 ], // null, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ NaN, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ NaN, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ NaN, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ NaN, 3.14 ], // 3.14, 3.14, 3.14 + [ NaN, 3.14 ], // 3.14, 3.14, 3.14 + [ NaN, 3.14 ], // 3.14, 3.14, 3.14 + [ NaN, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ] // 3.14, 3.14, 3.14 + ]; + + acc = incrnanmrmse( 3 ); + + for ( i = 0; i < data.length; i++ ) { + v = acc( data[i][0], data[i][1] ); + if ( isnan( expected[ i ] ) ) { + t.equal( isnan( v ), true, 'returns expected value for window '+i ); + t.equal( isnan( acc() ), true, 'returns expected value for window '+i ); + } else { + t.equal( v, expected[ i ], 'returns expected value for window '+i ); + t.equal( acc(), expected[ i ], 'returns expected value for window '+i ); + } + } + + expected = [ + null, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0 + ]; + + data = [ + [ 3.14, NaN ], // null + [ 3.14, 3.14 ], // null, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, NaN ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, NaN ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, NaN ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ], // 3.14, 3.14, 3.14 + [ 3.14, NaN ], // 3.14, 3.14, 3.14 + [ 3.14, NaN ], // 3.14, 3.14, 3.14 + [ 3.14, NaN ], // 3.14, 3.14, 3.14 + [ 3.14, NaN ], // 3.14, 3.14, 3.14 + [ 3.14, 3.14 ] // 3.14, 3.14, 3.14 + ]; + + acc = incrnanmrmse( 3 ); + + for ( i = 0; i < data.length; i++ ) { + v = acc( data[i][0], data[i][1] ); + if ( isnan( expected[ i ] ) ) { + t.equal( isnan( v ), true, 'returns expected value for window '+i ); + t.equal( isnan( acc() ), true, 'returns expected value for window '+i ); + } else { + t.equal( v, expected[ i ], 'returns expected value for window '+i ); + t.equal( acc(), expected[ i ], 'returns expected value for window '+i ); + } + } + t.end(); +});