deno.land / x / simplestatistic@v7.7.1 / test / sample_covariance.test.js

sample_covariance.test.js
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/* eslint no-shadow: 0 */
const test = require("tap").test;const ss = require("../");
function rnd(x) { return Math.round(x * 1000) / 1000;}
test("sample covariance", function (t) { t.test("can get perfect negative covariance", function (t) { const x = [1, 2, 3, 4, 5, 6]; const y = [6, 5, 4, 3, 2, 1]; t.equal(rnd(ss.sampleCovariance(x, y)), -3.5); t.end(); });
t.test("covariance of something with itself is its variance", function (t) { const x = [1, 2, 3, 4, 5, 6]; t.equal(rnd(ss.sampleCovariance(x, x)), 3.5); t.end(); });
t.test( "covariance is zero for something with no correlation", function (t) { const x = [1, 2, 3, 4, 5, 6]; const y = [1, 1, 2, 2, 1, 1]; t.equal(rnd(ss.sampleCovariance(x, y)), 0); t.end(); } );
t.test("unequal-length corner case", function (t) { t.throws(function () { ss.sampleCovariance([1], []); }); t.end(); });
t.test("zero-length corner case", function (t) { t.throws(function () { ss.sampleCovariance([], []); }); t.end(); }); t.end();});
simplestatistic

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2 years ago