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https://github.com/Karaka-Management/phpOMS.git
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74 lines
2.2 KiB
PHP
Executable File
74 lines
2.2 KiB
PHP
Executable File
<?php
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/**
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* Jingga
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*
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* PHP Version 8.2
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*
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* @package tests
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* @copyright Dennis Eichhorn
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* @license OMS License 2.0
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* @version 1.0.0
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* @link https://jingga.app
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*/
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declare(strict_types=1);
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namespace phpOMS\tests\Math\Statistic\Forecast\Regression;
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use phpOMS\Math\Statistic\Forecast\Regression\LogLogRegression;
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/**
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* @internal
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*/
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#[\PHPUnit\Framework\Attributes\TestDox('phpOMS\tests\Math\Statistic\Forecast\Regression\LogLogRegressionTest: Log log regression')]
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final class LogLogRegressionTest extends \PHPUnit\Framework\TestCase
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{
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protected $reg = null;
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/**
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* {@inheritdoc}
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*/
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protected function setUp() : void
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{
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// ln(y) = 2 + 3 * ln(x) => y = e^(2 + 3 * ln(x))
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$x = [0.25, 0.5, 1, 1.5];
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$y = [0.115, 0.924, 7.389, 24.938];
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$this->reg = LogLogRegression::getRegression($x, $y);
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}
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#[\PHPUnit\Framework\Attributes\Group('framework')]
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#[\PHPUnit\Framework\Attributes\TestDox('The regression parameters are calculated correctly')]
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public function testRegression() : void
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{
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self::assertEqualsWithDelta(['b0' => 2, 'b1' => 3], $this->reg, 0.2);
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}
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#[\PHPUnit\Framework\Attributes\Group('framework')]
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#[\PHPUnit\Framework\Attributes\TestDox('The slope is calculated correctly')]
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public function testSlope() : void
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{
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$y = 3;
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$x = 2;
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self::assertEqualsWithDelta($this->reg['b1'] * $y / $x, LogLogRegression::getSlope($this->reg['b1'], $y, $x), 0.2);
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}
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#[\PHPUnit\Framework\Attributes\Group('framework')]
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#[\PHPUnit\Framework\Attributes\TestDox('The elasticity is calculated correctly')]
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public function testElasticity() : void
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{
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self::assertEqualsWithDelta($this->reg['b1'], LogLogRegression::getElasticity($this->reg['b1'], 0, 0), 0.2);
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}
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#[\PHPUnit\Framework\Attributes\Group('framework')]
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#[\PHPUnit\Framework\Attributes\TestDox('Different dimension sizes for x and y coordinates throw a InvalidDimensionException')]
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public function testInvalidDimension() : void
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{
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$this->expectException(\phpOMS\Math\Matrix\Exception\InvalidDimensionException::class);
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$x = [1,2, 3];
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$y = [1,2, 3, 4];
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LogLogRegression::getRegression($x, $y);
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}
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}
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