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author | Anton Luka Šijanec <anton@sijanec.eu> | 2024-05-27 13:08:29 +0200 |
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committer | Anton Luka Šijanec <anton@sijanec.eu> | 2024-05-27 13:08:29 +0200 |
commit | 75160b12821f7f4299cce7f0b69c83c1502ae071 (patch) | |
tree | 27e25e4ccaef45f0c58b22831164050d1af1d4db /vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/Trend.php | |
parent | prvi-commit (diff) | |
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Diffstat (limited to '')
-rw-r--r-- | vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/Trend.php | 120 |
1 files changed, 120 insertions, 0 deletions
diff --git a/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/Trend.php b/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/Trend.php new file mode 100644 index 0000000..f696b3e --- /dev/null +++ b/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Shared/Trend/Trend.php @@ -0,0 +1,120 @@ +<?php
+
+namespace PhpOffice\PhpSpreadsheet\Shared\Trend;
+
+class Trend
+{
+ const TREND_LINEAR = 'Linear';
+ const TREND_LOGARITHMIC = 'Logarithmic';
+ const TREND_EXPONENTIAL = 'Exponential';
+ const TREND_POWER = 'Power';
+ const TREND_POLYNOMIAL_2 = 'Polynomial_2';
+ const TREND_POLYNOMIAL_3 = 'Polynomial_3';
+ const TREND_POLYNOMIAL_4 = 'Polynomial_4';
+ const TREND_POLYNOMIAL_5 = 'Polynomial_5';
+ const TREND_POLYNOMIAL_6 = 'Polynomial_6';
+ const TREND_BEST_FIT = 'Bestfit';
+ const TREND_BEST_FIT_NO_POLY = 'Bestfit_no_Polynomials';
+
+ /**
+ * Names of the best-fit Trend analysis methods.
+ *
+ * @var string[]
+ */
+ private static $trendTypes = [
+ self::TREND_LINEAR,
+ self::TREND_LOGARITHMIC,
+ self::TREND_EXPONENTIAL,
+ self::TREND_POWER,
+ ];
+
+ /**
+ * Names of the best-fit Trend polynomial orders.
+ *
+ * @var string[]
+ */
+ private static $trendTypePolynomialOrders = [
+ self::TREND_POLYNOMIAL_2,
+ self::TREND_POLYNOMIAL_3,
+ self::TREND_POLYNOMIAL_4,
+ self::TREND_POLYNOMIAL_5,
+ self::TREND_POLYNOMIAL_6,
+ ];
+
+ /**
+ * Cached results for each method when trying to identify which provides the best fit.
+ *
+ * @var bestFit[]
+ */
+ private static $trendCache = [];
+
+ public static function calculate($trendType = self::TREND_BEST_FIT, $yValues = [], $xValues = [], $const = true)
+ {
+ // Calculate number of points in each dataset
+ $nY = count($yValues);
+ $nX = count($xValues);
+
+ // Define X Values if necessary
+ if ($nX == 0) {
+ $xValues = range(1, $nY);
+ $nX = $nY;
+ } elseif ($nY != $nX) {
+ // Ensure both arrays of points are the same size
+ trigger_error('Trend(): Number of elements in coordinate arrays do not match.', E_USER_ERROR);
+ }
+
+ $key = md5($trendType . $const . serialize($yValues) . serialize($xValues));
+ // Determine which Trend method has been requested
+ switch ($trendType) {
+ // Instantiate and return the class for the requested Trend method
+ case self::TREND_LINEAR:
+ case self::TREND_LOGARITHMIC:
+ case self::TREND_EXPONENTIAL:
+ case self::TREND_POWER:
+ if (!isset(self::$trendCache[$key])) {
+ $className = '\PhpOffice\PhpSpreadsheet\Shared\Trend\\' . $trendType . 'BestFit';
+ self::$trendCache[$key] = new $className($yValues, $xValues, $const);
+ }
+
+ return self::$trendCache[$key];
+ case self::TREND_POLYNOMIAL_2:
+ case self::TREND_POLYNOMIAL_3:
+ case self::TREND_POLYNOMIAL_4:
+ case self::TREND_POLYNOMIAL_5:
+ case self::TREND_POLYNOMIAL_6:
+ if (!isset(self::$trendCache[$key])) {
+ $order = substr($trendType, -1);
+ self::$trendCache[$key] = new PolynomialBestFit($order, $yValues, $xValues, $const);
+ }
+
+ return self::$trendCache[$key];
+ case self::TREND_BEST_FIT:
+ case self::TREND_BEST_FIT_NO_POLY:
+ // If the request is to determine the best fit regression, then we test each Trend line in turn
+ // Start by generating an instance of each available Trend method
+ foreach (self::$trendTypes as $trendMethod) {
+ $className = '\PhpOffice\PhpSpreadsheet\Shared\Trend\\' . $trendType . 'BestFit';
+ $bestFit[$trendMethod] = new $className($yValues, $xValues, $const);
+ $bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
+ }
+ if ($trendType != self::TREND_BEST_FIT_NO_POLY) {
+ foreach (self::$trendTypePolynomialOrders as $trendMethod) {
+ $order = substr($trendMethod, -1);
+ $bestFit[$trendMethod] = new PolynomialBestFit($order, $yValues, $xValues, $const);
+ if ($bestFit[$trendMethod]->getError()) {
+ unset($bestFit[$trendMethod]);
+ } else {
+ $bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
+ }
+ }
+ }
+ // Determine which of our Trend lines is the best fit, and then we return the instance of that Trend class
+ arsort($bestFitValue);
+ $bestFitType = key($bestFitValue);
+
+ return $bestFit[$bestFitType];
+ default:
+ return false;
+ }
+ }
+}
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