Press n or j to go to the next uncovered block, b, p or k for the previous block.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 18x 18x 18x 18x 18x 18x 18x 18x 4x 4x 14x 18x 18x 6x 6x 8x 8x 18x 36x 36x 36x 36x 36x 8x 18x 3x 3x 3x 3x 3x | /** * @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); var arraylike2object = require( '@stdlib/array/base/arraylike2object' ); var accessors = require( './accessors.js' ); // MAIN // /** * Computes the arithmetic mean of a strided array. * * @param {PositiveInteger} N - number of indexed elements * @param {NumericArray} x - input array * @param {integer} strideX - stride length * @param {NonNegativeInteger} offsetX - starting index * @returns {number} arithmetic mean * * @example * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ]; * * var v = mean( 4, x, 2, 1 ); * // returns 1.25 */ function mean( N, x, strideX, offsetX ) { var sum; var ix; var o; var v; var i; if ( N <= 0 ) { return NaN; } o = arraylike2object( x ); if ( o.accessorProtocol ) { return accessors( N, o, strideX, offsetX ); } if ( N === 1 || strideX === 0 ) { return x[ offsetX ]; } ix = offsetX; sum = 0; for ( i = 0; i < N; i++ ) { v = x[ ix ]; if ( isnan( v ) ) { return v; } sum += v; ix += strideX; } return sum / N; } // EXPORTS // module.exports = mean; |