mirror of
https://github.com/PHPOffice/PhpSpreadsheet.git
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Trend unit tests (#1899)
- Move TREND() functions into the Statistical Trends class - Unit tests for TREND() - Create Confidence class for Statistical Confidence functions
This commit is contained in:
Mark Baker
GitHub
@@ -19,7 +19,7 @@ class LogEstTest extends TestCase
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public function testLOGEST($expectedResult, $yValues, $xValues, $const, $stats): void
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{
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$result = Statistical::LOGEST($yValues, $xValues, $const, $stats);
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//var_dump($result);
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$elements = count($expectedResult);
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for ($element = 0; $element < $elements; ++$element) {
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self::assertEqualsWithDelta($expectedResult[$element], $result[$element], 1E-12);
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@@ -0,0 +1,49 @@
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<?php
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namespace PhpOffice\PhpSpreadsheetTests\Shared\Trend;
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use PhpOffice\PhpSpreadsheet\Shared\Trend\ExponentialBestFit;
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use PHPUnit\Framework\TestCase;
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class ExponentialBestFitTest extends TestCase
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{
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/**
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* @dataProvider providerExponentialBestFit
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*
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* @param mixed $expectedSlope
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* @param mixed $expectedIntersect
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* @param mixed $expectedGoodnessOfFit
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* @param mixed $yValues
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* @param mixed $xValues
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* @param mixed $expectedEquation
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*/
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public function testExponentialBestFit(
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$expectedSlope,
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$expectedIntersect,
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$expectedGoodnessOfFit,
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$expectedEquation,
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$yValues,
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$xValues
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): void {
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$bestFit = new ExponentialBestFit($yValues, $xValues);
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$slope = $bestFit->getSlope(1);
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self::assertEquals($expectedSlope[0], $slope);
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$slope = $bestFit->getSlope();
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self::assertEquals($expectedSlope[1], $slope);
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$intersect = $bestFit->getIntersect(1);
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self::assertEquals($expectedIntersect[0], $intersect);
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$intersect = $bestFit->getIntersect();
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self::assertEquals($expectedIntersect[1], $intersect);
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$equation = $bestFit->getEquation(2);
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self::assertEquals($expectedEquation, $equation);
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self::assertSame($expectedGoodnessOfFit[0], $bestFit->getGoodnessOfFit(6));
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self::assertSame($expectedGoodnessOfFit[1], $bestFit->getGoodnessOfFit());
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}
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public function providerExponentialBestFit()
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{
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return require 'tests/data/Shared/Trend/ExponentialBestFit.php';
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}
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}
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@@ -0,0 +1,49 @@
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<?php
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namespace PhpOffice\PhpSpreadsheetTests\Shared\Trend;
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use PhpOffice\PhpSpreadsheet\Shared\Trend\LinearBestFit;
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use PHPUnit\Framework\TestCase;
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class LinearBestFitTest extends TestCase
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{
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/**
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* @dataProvider providerLinearBestFit
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*
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* @param mixed $expectedSlope
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* @param mixed $expectedIntersect
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* @param mixed $expectedGoodnessOfFit
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* @param mixed $yValues
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* @param mixed $xValues
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* @param mixed $expectedEquation
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*/
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public function testLinearBestFit(
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$expectedSlope,
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$expectedIntersect,
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$expectedGoodnessOfFit,
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$expectedEquation,
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$yValues,
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$xValues
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): void {
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$bestFit = new LinearBestFit($yValues, $xValues);
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$slope = $bestFit->getSlope(1);
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self::assertEquals($expectedSlope[0], $slope);
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$slope = $bestFit->getSlope();
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self::assertEquals($expectedSlope[1], $slope);
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$intersect = $bestFit->getIntersect(1);
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self::assertEquals($expectedIntersect[0], $intersect);
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$intersect = $bestFit->getIntersect();
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self::assertEquals($expectedIntersect[1], $intersect);
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$equation = $bestFit->getEquation(2);
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self::assertEquals($expectedEquation, $equation);
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self::assertSame($expectedGoodnessOfFit[0], $bestFit->getGoodnessOfFit(6));
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self::assertSame($expectedGoodnessOfFit[1], $bestFit->getGoodnessOfFit());
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}
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public function providerLinearBestFit()
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{
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return require 'tests/data/Shared/Trend/LinearBestFit.php';
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}
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}
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@@ -1,6 +1,22 @@
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<?php
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use PhpOffice\PhpSpreadsheet\Calculation\Functions;
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return [
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[
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[1.0, 0.0],
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[1, 2, 3, 4, 5],
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[1, 2, 3, 4, 5],
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false,
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false,
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],
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[
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[2.310344827586207, 0.0],
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[1, 9, 5, 7],
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[0, 4, 2, 3],
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false,
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false,
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],
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[
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[2.0, 1.0],
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[1, 9, 5, 7],
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@@ -8,6 +24,46 @@ return [
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true,
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false,
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],
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[
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[0.600378787879, 0.0],
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[3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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[8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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false,
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false,
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],
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[
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[-1.1064189189190, 14.081081081081],
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[3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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[8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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true,
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false,
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],
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[
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[
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[0.600378787879, 0.0],
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[0.3130441135917, Functions::NA()],
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[0.2901220667036, 7.193206086629],
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[3.6782360429317, 9],
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[190.3200757575760, 465.679924242424],
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],
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[3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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[8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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false,
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true,
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],
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[
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[
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[-1.1064189189190, 14.081081081081],
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[0.1491074289251, 1.083468383961],
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[0.8731378215565, 1.622464237727],
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[55.0605598780781, 8],
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[144.9408783783780, 21.059121621622],
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],
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[3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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[8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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true,
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true,
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],
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[
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[
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[56.837944664032, 11704.347826086974],
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@@ -21,29 +77,29 @@ return [
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true,
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true,
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],
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// [
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// [
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// [-234.2371645, 2553.21066, 12529.76817, 27.64138737, 52317.83051],
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// [13.26801148, 530.6691519, 400.0668382, 5.429374042, 12237.3616],
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// [0.996747993, 970.5784629, '#N/A', '#N/A', '#N/A'],
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// [459.7536742, 6, '#N/A', '#N/A', '#N/A'],
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// [1732393319, 5652135.316, '#N/A', '#N/A', '#N/A'],
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// 'multi-series' => [
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// [
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// [-234.2371645, 2553.21066, 12529.76817, 27.64138737, 52317.83051],
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// [13.26801148, 530.6691519, 400.0668382, 5.429374042, 12237.3616],
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// [0.996747993, 970.5784629, '#N/A', '#N/A', '#N/A'],
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// [459.7536742, 6, '#N/A', '#N/A', '#N/A'],
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// [1732393319, 5652135.316, '#N/A', '#N/A', '#N/A'],
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// ],
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// [142000, 144000, 151000, 150000, 139000, 169000, 126000, 142900, 163000, 169000, 149000],
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// [
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// [2310, 2, 2, 20],
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// [2333, 2, 2, 12],
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// [2356, 3, 1.5, 33],
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// [2379, 3, 2, 43],
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// [2402, 2, 3, 53],
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// [2425, 4, 2, 23],
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// [2448, 2, 1.5, 99],
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// [2471, 2, 2, 34],
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// [2494, 3, 3, 23],
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// [2517, 4, 4, 55],
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// [2540, 2, 3, 22],
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// ],
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// true,
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// true,
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// ],
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// [142000, 144000, 151000, 150000, 139000, 169000, 126000, 142900, 163000, 169000, 149000],
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// [
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// [2310, 2, 2, 20],
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// [2333, 2, 2, 12],
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// [2356, 3, 1.5, 33],
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// [2379, 3, 2, 43],
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// [2402, 2, 3, 53],
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// [2425, 4, 2, 23],
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// [2448, 2, 1.5, 99],
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// [2471, 2, 2, 34],
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// [2494, 3, 3, 23],
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// [2517, 4, 4, 55],
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// [2540, 2, 3, 22],
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// ],
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// true,
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// true,
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// ],
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];
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@@ -1,6 +1,20 @@
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<?php
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return [
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[
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[1.000174230092, 1.0],
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[1, 2, 3, 4, 5],
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[1, 10, 100, 1000, 10000],
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false,
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false,
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],
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[
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[1.000091183030, 2.127357620703],
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[1, 2, 3, 4, 5],
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[1, 10, 100, 1000, 10000],
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true,
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false,
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],
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[
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[1.463275628116, 495.304770158727],
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[33100, 47300, 69000, 102000, 150000, 220000],
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@@ -15,4 +29,44 @@ return [
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true,
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false,
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],
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[
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[1.1743674215053, 1.0],
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[3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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[8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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false,
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false,
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],
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[
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[0.8135120728565, 20.671878197178],
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[3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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[8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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true,
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false,
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],
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// [
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// [
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// [1.174367421505266, 1.0],
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// [0.0672620306083, Functions::NA()],
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// [0.3881799938732, 1.545563794251],
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// [5.7102087376569, 9],
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// [13.6403607201119, 21.498906978904],
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// ],
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// [3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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// [8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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// false,
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// true,
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// ],
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// [
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// [
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// [0.8135120728565, 20.671878197178],
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// [0.0313021171611, 0.227452478657],
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// [0.8445875527654, 0.340603858743],
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// [43.4759283593386, 8],
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// [5.0436854288511, 0.928087908723],
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// ],
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// [3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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// [8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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// true,
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// true,
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// ],
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];
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@@ -0,0 +1,12 @@
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<?php
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return [
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[
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'slope' => [0.8, 0.813512072856517],
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'intersect' => [20.7, 20.671878197177865],
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'goodnessOfFit' => [0.904868, 0.9048681877346413],
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'equation' => 'Y = 20.67 * 0.81^X',
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[3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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[8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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],
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];
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@@ -0,0 +1,20 @@
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<?php
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return [
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[
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'slope' => [-1.1, -1.1064189189190],
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'intersect' => [14.1, 14.081081081081],
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'goodnessOfFit' => [0.873138, 0.8731378215564962],
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'equation' => 'Y = 14.08 + -1.11 * X',
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[3, 10, 3, 6, 8, 12, 1, 4, 9, 14],
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[8, 2, 11, 6, 5, 4, 12, 9, 6, 1],
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],
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[
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'slope' => [1.0, 1.0],
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'intersect' => [-2.0, -2.0],
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'goodnessOfFit' => [1.0, 1.0],
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'equation' => 'Y = -2 + 1 * X',
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[1, 2, 3, 4, 5],
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[3, 4, 5, 6, 7],
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],
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];
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