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ubique

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A mathematical and quantitative library for Javascript and Node.js

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/** * Descriptive Statistic */ module.exports = function($u) { /** * @method moment * @summary Central moments * @description Central moments. First moment is zero, second is variance. * * @param {array|matrix} x array or amatrix of elements * @param {number} k k-th central sample moment * @param {number} dim dimension 0: row, 1: column (def: 0) * @return {number|array|matrix} * * @example * var x = [ 0.003,0.026,0.015,-0.009,0.014,0.024,0.015,0.066,-0.014,0.039]; * var y = [-0.005,0.081,0.04,-0.037,-0.061,0.058,-0.049,-0.021,0.062,0.058]; * * ubique.moment(x,3); * // 0.000007 * * ubique.moment(x,1); * // 0 * * ubique.moment(ubique.cat(0,x,y),2); * // [ [ 0.000486 ], [ 0.00251 ] */ $u.moment = function(x,k,dim) { if (arguments.length < 2) { throw new Error('not enough input arguments'); } dim = dim == null ? 0 : dim; var _moment = function(a,k) { var mu = $u.mean(a); return $u.mean(a.map(function(b) {return Math.pow(b - mu,k)})); } if ($u.isnumber(x)) { return NaN; } return $u.vectorfun(dim,x,_moment,k); } }