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simple-statistics - npm Package Compare versions

Comparing version 7.1.0 to 7.2.0

src/euclidean_distance.js

8

CHANGELOG.md

@@ -5,2 +5,10 @@ # Changelog

## [7.2.0](https://github.com/simple-statistics/simple-statistics/compare/v7.1.0...v7.2.0) (2020-08-23)
### Features
* K means clustering ([#484](https://github.com/simple-statistics/simple-statistics/issues/484)) ([7913bcb](https://github.com/simple-statistics/simple-statistics/commit/7913bcbf393786fe8b5212afe133c1b90d9c61ba))
* Silhouette metric ([269a4b8](https://github.com/simple-statistics/simple-statistics/commit/269a4b8982e645c89445cd208db14f1c9079a4ec))
## [7.1.0](https://github.com/simple-statistics/simple-statistics/compare/v7.0.9...v7.1.0) (2020-05-06)

@@ -7,0 +15,0 @@

2

dist/simple-statistics.min.js

@@ -1,2 +0,2 @@

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0===a&&(a=1e4),void 0===e&&(e="two_side"),"two_side"!==e&&"greater"!==e&&"less"!==e)throw new Error("`alternative` must be either 'two_side', 'greater', or 'less'");for(var o=n(r)-n(t),i=new Array(a),u=r.concat(t),h=Math.floor(u.length/2),f=0;f<a;f++){E(u);var l=u.slice(0,h),s=u.slice(h,u.length),c=n(l)-n(s);i[f]=c}var v=0;if("two_side"===e)for(var g=0;g<=a;g++)Math.abs(i[g])>=Math.abs(o)&&(v+=1);else if("greater"===e)for(var p=0;p<=a;p++)i[p]>=o&&(v+=1);else for(var w=0;w<=a;w++)i[w]<=o&&(v+=1);return v/a},r.permutationsHeap=function(r){for(var t=new Array(r.length),n=[r.slice()],e=0;e<r.length;e++)t[e]=0;for(var a=0;a<r.length;)if(t[a]<a){var o=0;a%2!=0&&(o=t[a]);var i=r[o];r[o]=r[a],r[a]=i,n.push(r.slice()),t[a]++,a=0}else t[a]=0,a++;return n},r.poissonDistribution=function(r){if(!(r<=0)){var t=0,n=0,e=[],a=1;do{e[t]=Math.exp(-r)*Math.pow(r,t)/a,n+=e[t],a*=++t}while(n<.9999);return e}},r.probit=function(r){return 0===r?r=1e-4:r>=1&&(r=.9999),Math.sqrt(2)*Q(2*r-1)},r.product=function(r){for(var t=1,n=0;n<r.length;n++)t*=r[n];return t},r.quantile=g,r.quantileRank=function(r,t){return m(u(r),t)},r.quantileRankSorted=m,r.quantileSorted=s,r.quickselect=c,r.rSquared=function(r,t){if(r.length<2)return 1;for(var n=0,e=0;e<r.length;e++)n+=r[e][1];for(var a=n/r.length,o=0,i=0;i<r.length;i++)o+=Math.pow(a-r[i][1],2);for(var u=0,h=0;h<r.length;h++)u+=Math.pow(r[h][1]-t(r[h][0]),2);return 1-u/o},r.rms=D,r.rootMeanSquare=D,r.sample=S,r.sampleCorrelation=function(r,t){return A(r,t)/N(r)/N(t)},r.sampleCovariance=A,r.sampleKurtosis=function(r){var t=r.length;if(t<4)throw new Error("sampleKurtosis requires at least four data points");for(var e,a=n(r),o=0,i=0,u=0;u<t;u++)o+=(e=r[u]-a)*e,i+=e*e*e*e;return(t-1)/((t-2)*(t-3))*(t*(t+1)*i/(o*o)-3*(t-1))},r.sampleSkewness=function(r){if(r.length<3)throw new Error("sampleSkewness requires at least three data points");for(var t,e=n(r),a=0,o=0,i=0;i<r.length;i++)a+=(t=r[i]-e)*t,o+=t*t*t;var u=r.length-1,h=Math.sqrt(a/u),f=r.length;return f*o/((f-1)*(f-2)*Math.pow(h,3))},r.sampleStandardDeviation=N,r.sampleVariance=C,r.sampleWithReplacement=function(r,t,n){if(0===r.length)return[];n=n||Math.random;for(var e=r.length,a=[],o=0;o<t;o++){var i=Math.floor(n()*e);a.push(r[i])}return a},r.shuffle=y,r.shuffleInPlace=E,r.sign=Y,r.silhouette=nr,r.silhouetteMetric=function(r,t){return f(nr(r,t))},r.standardDeviation=o,r.standardNormalTable=H,r.subtractFromMean=function(r,t,n){return(r*t-n)/(t-1)},r.sum=t,r.sumNthPowerDeviations=e,r.sumSimple=l,r.tTest=function(r,t){return(n(r)-t)/(o(r)/Math.sqrt(r.length))},r.tTestTwoSample=function(r,t,e){var a=r.length,o=t.length;if(!a||!o)return null;e||(e=0);var i=n(r),u=n(t),h=C(r),f=C(t);if("number"==typeof i&&"number"==typeof u&&"number"==typeof h&&"number"==typeof f){var l=((a-1)*h+(o-1)*f)/(a+o-2);return(i-u-e)/Math.sqrt(l*(1/a+1/o))}},r.uniqueCountSorted=k,r.variance=a,r.zScore=function(r,t,n){return(r-t)/n},Object.defineProperty(r,"__esModule",{value:!0})}));
//# sourceMappingURL=simple-statistics.min.js.map

@@ -95,2 +95,5 @@ // # simple-statistics

// Clustering methods
export { default as kMeansCluster } from './src/k_means_cluster';
// Utils

@@ -97,0 +100,0 @@ export { default as quickselect } from './src/quickselect';

@@ -122,2 +122,7 @@ // # simple-statistics

// Clustering methods and metrics
export { default as kMeansCluster } from "./src/k_means_cluster";
export { default as silhouette } from "./src/silhouette";
export { default as silhouetteMetric } from "./src/silhouette_metric";
// Utils

@@ -124,0 +129,0 @@ export { default as quickselect } from "./src/quickselect";

{
"name": "simple-statistics",
"version": "7.1.0",
"version": "7.2.0",
"description": "Simple Statistics",

@@ -19,4 +19,4 @@ "author": "Tom MacWright <tom@macwright.org> (http://macwright.org/)",

"cz-conventional-changelog": "^3.0.2",
"documentation": "^12",
"eslint": "^6.0.1",
"documentation": "^13",
"eslint": "^7.2.0",
"eslint-plugin-prettier": "^3.0.0",

@@ -26,4 +26,4 @@ "prettier": "^2.0.2",

"rollup": "^2.3.2",
"rollup-plugin-terser": "^5.1.2",
"standard-version": "^7.0.0",
"rollup-plugin-terser": "^6.1.0",
"standard-version": "^8.0.0",
"tap": "^14.4.1",

@@ -30,0 +30,0 @@ "typescript": "^3.6.4"

@@ -6,3 +6,3 @@ # Simple Statistics

[![codecov.io](https://codecov.io/github/simple-statistics/simple-statistics/coverage.svg?branch=master)](https://codecov.io/github/simple-statistics/simple-statistics?branch=master)
[![Coverage Status](https://coveralls.io/repos/github/simple-statistics/simple-statistics/badge.svg)](https://coveralls.io/github/simple-statistics/simple-statistics)
[![npm version](https://badge.fury.io/js/simple-statistics.svg)](http://badge.fury.io/js/simple-statistics)

@@ -40,3 +40,3 @@

```HTML
<script src='https://unpkg.com/simple-statistics@7.1.0/dist/simple-statistics.min.js'>
<script src='https://unpkg.com/simple-statistics@7.2.0/dist/simple-statistics.min.js'>
</script>

@@ -50,3 +50,3 @@ ```

<script type='module'>
import {min} from "https://unpkg.com/simple-statistics@7.1.0/index.js?module"
import {min} from "https://unpkg.com/simple-statistics@7.2.0/index.js?module"
console.log(min([1, 2, 3]))

@@ -53,0 +53,0 @@ </script>

@@ -0,1 +1,2 @@

import makeMatrix from "./make_matrix";
import numericSort from "./numeric_sort";

@@ -5,24 +6,2 @@ import uniqueCountSorted from "./unique_count_sorted";

/**
* Create a new column x row matrix.
*
* @private
* @param {number} columns
* @param {number} rows
* @return {Array<Array<number>>} matrix
* @example
* makeMatrix(10, 10);
*/
function makeMatrix(columns, rows) {
const matrix = [];
for (let i = 0; i < columns; i++) {
const column = [];
for (let j = 0; j < rows; j++) {
column.push(0);
}
matrix.push(column);
}
return matrix;
}
/**
* Generates incrementally computed values based on the sums and sums of

@@ -29,0 +8,0 @@ * squares for the data array

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