feat: Documentation cleanup#16
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| @@ -1,3 +1,3 @@ | |||
| /*! @jwalsh/stochastic - 0.2.4 */ | |||
| !function(r){function t(o){if(n[o])return n[o].exports;var e=n[o]={i:o,l:!1,exports:{}};return r[o].call(e.exports,e,e.exports,t),e.l=!0,e.exports}var n={};t.m=r,t.c=n,t.d=function(r,n,o){t.o(r,n)||Object.defineProperty(r,n,{configurable:!1,enumerable:!0,get:o})},t.n=function(r){var n=r&&r.__esModule?function(){return r.default}:function(){return r};return t.d(n,"a",n),n},t.o=function(r,t){return Object.prototype.hasOwnProperty.call(r,t)},t.p="",t(t.s=0)}([function(r,t,n){window.stoch=n(1)},function(r,t,n){"use strict";function o(r){if(Array.isArray(r)){for(var t=0,n=Array(r.length);t<r.length;t++)n[t]=r[t];return n}return Array.from(r)}function e(){var r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:0,t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],o=void 0,e=void 0,a=void 0,u=void 0,i=void 0;if(a=[0],u=0,i=0,t<=0||r<=0)return a;for(;u<t;)o=Math.random(),e=-Math.log(o)/r,(u+=e)<t&&(i+=1,a.push(u));return!1===n?[i]:a}function a(r){return r.reduce(function(r,t){return t+r},0)/r.length}function u(r){var t=a(r),n=r.map(function(r){var n=r-t;return n*n}),o=a(n);return Math.sqrt(o)}function i(r,t){return p(a(r),u(r),t||r.length)}function h(r,t,n,o,e,a){var u=[],i=[0];return o>0&&e>0?!1===a?[r*Math.exp((t-n*n/2)*o+n*p(0,Math.sqrt(o),1)[0])]:(i=g(t-n*n/2,n,o,e,!0),i.forEach(function(t){u.push(r*Math.exp(t))}),u):i}function f(r,t,n,o){if(!m(r))throw new Error("Invalid transMatrix");var e=parseInt(n,10),a=[];a.push(e);for(var u=r[e],i=void 0,h=0;h<t;h++){i=Math.random();for(var f=0,v=0;v<u.length;v++)(f+=u[v])>i&&(a.push(v),u=r[v],v=u.length)}return!1===o?a[a.length-1]:a}function v(r){for(var t=Math.max.apply(Math,o(r))+1,n=Array(t).fill(0),e=[],a=0;a<n.length;a++)e.push(n.slice());return r.reduce(function(r,t){return r.transMatrix[r.previous][t]++,r.previous=t,r},{transMatrix:e,previous:0}).transMatrix.map(function(r){var t=r.reduce(function(r,t){return r+t},0);return r.map(function(r){return r/t})})}function l(r,t,n,o){if(!m(r))throw new Error("Invalid transMatrix");for(var e={0:n},a=n,u=r[n],i=0,h=void 0,f=void 0,v=void 0;i<t;){for(var l=0,c=0;c<u.length;c++)l+=u[c];if(h=Math.random(),f=-Math.log(h)/l,(i+=f)>t)return!1===o?{t:a}:e;v=0,h=Math.random();for(var d=0;d<u.length;d++)(v+=u[d]/l)>h&&(u=r[d],e[i]=d,a=d,d=u.length)}return e}function c(r,t){for(var n=[],o=0;o<t;o++){var e=Math.floor(Math.random()*r.length),a=r[e];n.push(a)}return n}function d(){var r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1;return-Math.log(Math.random())/r}function s(r,t){return r/Math.pow(Math.random(),1/t)}function M(r,t){for(var n=r.slice().sort(function(r,t){return r-t}),o=n[r.length-1],e=n[0],a=Math.round(Math.sqrt(r.length)),u=t||(o-e)/a,i={},h=[],f=0;f<a;f++){var v=e+f*u;h.push(v),i[v]=0}for(var l=0;l<r.length;l++)for(var c=e,d=0,s=!0;s;){if(n[l]===n[n.length-1]){i[h[h.length-1]]+=1,s=!1;break}if(n[l]<c+u){i[h[d]]+=1,s=!1;break}d+=1,c+=u}return i}Object.defineProperty(t,"__esModule",{value:!0}),t.poissP=e,t.average=a,t.std=u,t.mock=i,t.GBM=h,t.DTMC=f,t.collate=v,t.CTMC=l,t.sample=c,t.exp=d,t.pareto=s,t.hist=M;var p=t.norm=function(){function r(r,t){return e=Math.random(),a=Math.random(),h=Math.sqrt(-2*Math.log(e))*Math.cos(2*a*Math.PI),f=Math.sqrt(-2*Math.log(e))*Math.sin(2*a*Math.PI),u=r+t*h,i=r+t*f,[u,i]}var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,o=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,e=void 0,a=void 0,u=void 0,i=void 0,h=void 0,f=void 0,v=[];if(n<=0)return v;if(void 0===o||1===o||o%1!=0)return[r(t,n)[0]];o/2%2!=0&&v.push(r(t,n)[0]);for(var l=0;l<Math.floor(o/2);l++)v=v.concat(r(t,n));return v},g=t.brown=function(r,t,n,o,e){var a=[0],u=0,i=n/o,h=void 0;if(!(n>0&&o>0))return a;if(!1===e)return[r*n+t*p(0,Math.sqrt(n),1)[0]];for(var f=0;f<o;f++)h=r*i+t*p(0,Math.sqrt(i),1)[0],u+=h,a.push(u);return a},m=function(r){for(var t=r.length,n=0;n<t;n++){var o=0;if(r[n].length!==t)return!1;for(var e=0;e<t;e++){if(r[n][e]>1||r[n][e]<0)return!1;o+=r[n][e]}var a=4*Math.pow(10,-16);if(o<1-a||o>1+a)return!1}return!0}}]); | |||
| !function(r){function t(e){if(n[e])return n[e].exports;var o=n[e]={exports:{},id:e,loaded:!1};return r[e].call(o.exports,o,o.exports,t),o.loaded=!0,o.exports}var n={};return t.m=r,t.c=n,t.p="",t(0)}([function(r,t,n){window.stoch=n(1)},function(r,t){"use strict";function n(r){if(Array.isArray(r)){for(var t=0,n=Array(r.length);t<r.length;t++)n[t]=r[t];return n}return Array.from(r)}function e(){var r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:0,t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],e=void 0,o=void 0,a=void 0,i=void 0,u=void 0;if(a=[0],i=0,u=0,t<=0||r<=0)return a;for(;i<t;)e=Math.random(),o=-Math.log(e)/r,i+=o,i<t&&(u+=1,a.push(i));return n===!1?[u]:a}function o(r){var t=r.reduce(function(r,t){return t+r},0);return t/r.length}function a(r){if(0===r.length)throw new Error("Cannot find mode of an empty array.");return r.reduce(function(r,t){var n=r.numMapping[t]=(r.numMapping[t]||0)+1;return 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r.transMatrix[r.previous][t]++,r.previous=t,r},{transMatrix:o,previous:0}),u=i.transMatrix.map(function(r){var t=r.reduce(function(r,t){return r+t},0);return r.map(function(r){return r/t})});return u}function c(r,t,n){var e=!(arguments.length>3&&void 0!==arguments[3])||arguments[3];if(!w(r))throw new Error("Invalid transMatrix");for(var o={0:n},a=n,i=r[n],u=0,h=void 0,f=void 0,v=void 0;u<t;){for(var l=0,d=0;d<i.length;d++)l+=i[d];if(h=Math.random(),f=-Math.log(h)/l,u+=f,u>t)return e===!1?{t:a}:o;v=0,h=Math.random();for(var c=0;c<i.length;c++)v+=i[c]/l,v>h&&(i=r[c],o[u]=c,a=c,c=i.length)}return o}function s(r,t){for(var n=[],e=0;e<t;e++){var o=Math.floor(Math.random()*r.length),a=r[o];n.push(a)}return n}function M(){var r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1;return-Math.log(Math.random())/r}function g(r,t){return r/Math.pow(Math.random(),1/t)}function p(r,t){for(var n=r.slice().sort(function(r,t){return 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e||1===e||e%1!==0)return[r(t,n)[0]];e/2%2!==0&&v.push(r(t,n)[0]);for(var l=0;l<Math.floor(e/2);l++)v=v.concat(r(t,n));return v},y=t.brown=function(r,t,n,e){var o=!(arguments.length>4&&void 0!==arguments[4])||arguments[4],a=[0],i=0,u=n/e,h=void 0;if(!(n>0&&e>0))return a;if(o===!1)return[r*n+t*m(0,Math.sqrt(n),1)[0]];for(var f=0;f<e;f++)h=r*u+t*m(0,Math.sqrt(u),1)[0],i+=h,a.push(i);return a},w=function(r){for(var t=r.length,n=0;n<t;n++){var e=0;if(r[n].length!==t)return!1;for(var o=0;o<t;o++){if(r[n][o]>1||r[n][o]<0)return!1;e+=r[n][o]}var a=4*Math.pow(10,-16);if(e<1-a||e>1+a)return!1}return!0}}]); | |||
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Wrap an immediate function invocation in parens to assist the reader in understanding that the expression is the result of a function, and not the function itself.
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| // // https://stat.ethz.ch/R-manual/R-devel/library/stats/html/Weibull.html | ||
| // // https://en.wikipedia.org/wiki/Weibull_distribution | ||
| // // Usage: in industrial engineering to represent manufacturing and delivery times |
| var log = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : FALSE; | ||
| }; | ||
| // // https://stat.ethz.ch/R-manual/R-devel/library/stats/html/Binomial.html | ||
| // // Usage: only two mutually exclusive possible outcomes, for example the outcome of tossing a coin is heads or tails |
| var u = Math.random(); | ||
| var v = Math.random(); | ||
| var x = Math.sqrt(-2 * Math.log(u)) * Math.cos(2 * Math.PI * v); | ||
| var y = t * x + Math.sqrt(1 - t * t) * Math.sqrt(-2 * Math.log(u)) * Math.sin(2 * Math.PI * v); |
| * @returns {number[]} array of n numbers generated from the SN distribution | ||
| */ | ||
| function rsn(n, location, scale) { | ||
| var shape = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : 0; |
| */ | ||
| function mock(values /*: Array<number> */, num /*: number */) { | ||
| function mock(values /*: Array<number> */) { | ||
| var num /*: number */ = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 1; |
| } | ||
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| return values.reduce(function (accumulator, current) { | ||
| var val = accumulator.numMapping[current] = (accumulator.numMapping[current] || 0) + 1; |
| p.mode = c; | ||
| function mode(values /*: Array<number> */) { | ||
| if (values.length === 0) { | ||
| throw new Error('Cannot find mode of an empty array.'); |
| * @example const poissP = stoch.poissP(1, 100, true); | ||
| * @example const emails = stoch.hist(Array(261).fill().map(e => stoch.poissP(10, 8, true).length)); | ||
| * @example const poissP = stochastic.poissP(1, 100, true); | ||
| * @example const emails = stochastic.hist(Array(261).fill().map(e => stochastic.poissP(10, 8, true).length)); |
| @@ -1,4 +1,4 @@ | |||
| 'use strict'; | |||
| "use strict"; | |||
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Use the function form of "use strict".
| excessKurtosis: kurtosis | ||
| min, | ||
| max, | ||
| range, |
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'object short notation' is available in ES6 (use 'esversion: 6') or Mozilla JS extensions (use moz).
Too many errors. (25% scanned).
| skewness, | ||
| excessKurtosis: kurtosis | ||
| min, | ||
| max, |
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'object short notation' is available in ES6 (use 'esversion: 6') or Mozilla JS extensions (use moz).
| stdev, | ||
| skewness, | ||
| excessKurtosis: kurtosis | ||
| min, |
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'object short notation' is available in ES6 (use 'esversion: 6') or Mozilla JS extensions (use moz).
| const _mode = mode(values); | ||
| // mean | moment | skewness | std | var | ||
| const modeArr = mode(values); | ||
| const mode = modeArr.length > 0 ? modeArr[0] : null; // Check if mode exists |
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'const' is available in ES6 (use 'esversion: 6') or Mozilla JS extensions (use moz).
'mode' was used before it was declared, which is illegal for 'const' variables.
| const kurtosis = _kurtosis(values); | ||
| const _mode = mode(values); | ||
| // mean | moment | skewness | std | var | ||
| const modeArr = mode(values); |
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'const' is available in ES6 (use 'esversion: 6') or Mozilla JS extensions (use moz).
| const quantile = (function(values) { | ||
| let result = [25, 50, 75].reduce((p, c) => { | ||
| p[c] = c; | ||
| p[c] = percentile(values, c); // Use percentile function to calculate percentiles |
| export function std(values /*: Array<number> */) { | ||
| const avg = average(values); | ||
| if (values.length === 0) { | ||
| throw new Error("Input array cannot be empty"); |
| * @example const std = stochastic.std([2, 3, 4, 4, 4, 5, 6]); | ||
| * @param {number[]} values | ||
| * @returns {number} standard deviation as positive number | ||
| * @param {number[]} values - The array of values to calculate the standard deviation for. |
| } | ||
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| return values.reduce((accumulator, current) => { | ||
| var val = accumulator.numMapping[current] = (accumulator.numMapping[current] || 0) + 1; |
| throw new Error('Cannot find mode of an empty array.'); | ||
| } | ||
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| return values.reduce((accumulator, current) => { |
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'arrow function syntax (=>)' is only available in ES6 (use 'esversion: 6').
| if (val > p.greatestFreq) { | ||
| p.greatestFreq = val; | ||
| p.mode = c; | ||
| export function mode(values /*: Array<number> */) { |
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'export' is only available in ES6 (use 'esversion: 6').
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