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authorAnton Luka Šijanec <anton@sijanec.eu>2024-05-27 13:12:17 +0200
committerAnton Luka Šijanec <anton@sijanec.eu>2024-05-27 13:12:17 +0200
commitf1ab2f022fdc780aca0944d90e9a0e844a0820d7 (patch)
tree79942a40514f5ab40c5901349c9fcd30c6c8dc0e /admin/survey/excel/PHPExcel/Shared/trend/trendClass.php
parent2024-02-19 upstream (diff)
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-<?php
-/**
- * PHPExcel
- *
- * Copyright (c) 2006 - 2012 PHPExcel
- *
- * This library is free software; you can redistribute it and/or
- * modify it under the terms of the GNU Lesser General Public
- * License as published by the Free Software Foundation; either
- * version 2.1 of the License, or (at your option) any later version.
- *
- * This library is distributed in the hope that it will be useful,
- * but WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- * Lesser General Public License for more details.
- *
- * You should have received a copy of the GNU Lesser General Public
- * License along with this library; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
- *
- * @category PHPExcel
- * @package PHPExcel_Shared_Trend
- * @copyright Copyright (c) 2006 - 2012 PHPExcel (http://www.codeplex.com/PHPExcel)
- * @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
- * @version 1.7.8, 2012-10-12
- */
-
-
-require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/linearBestFitClass.php';
-require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/logarithmicBestFitClass.php';
-require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/exponentialBestFitClass.php';
-require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/powerBestFitClass.php';
-require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/polynomialBestFitClass.php';
-
-
-/**
- * PHPExcel_trendClass
- *
- * @category PHPExcel
- * @package PHPExcel_Shared_Trend
- * @copyright Copyright (c) 2006 - 2012 PHPExcel (http://www.codeplex.com/PHPExcel)
- */
-class trendClass
-{
- 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 = array( self::TREND_LINEAR,
- self::TREND_LOGARITHMIC,
- self::TREND_EXPONENTIAL,
- self::TREND_POWER
- );
- /**
- * Names of the best-fit trend polynomial orders
- *
- * @var string[]
- **/
- private static $_trendTypePolyOrders = array( 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 PHPExcel_Best_Fit[]
- **/
- private static $_trendCache = array();
-
-
- public static function calculate($trendType=self::TREND_BEST_FIT, $yValues, $xValues=array(), $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])) {
- $className = 'PHPExcel_'.$trendType.'_Best_Fit';
- self::$_trendCache[$key] = new $className($yValues,$xValues,$const);
- }
- return self::$_trendCache[$key];
- break;
- 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 PHPExcel_Polynomial_Best_Fit($order,$yValues,$xValues,$const);
- }
- return self::$_trendCache[$key];
- break;
- 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) {
- $className = 'PHPExcel_'.$trendMethod.'BestFit';
- $bestFit[$trendMethod] = new $className($yValues,$xValues,$const);
- $bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
- }
- if ($trendType != self::TREND_BEST_FIT_NO_POLY) {
- foreach(self::$_trendTypePolyOrders as $trendMethod) {
- $order = substr($trendMethod,-1);
- $bestFit[$trendMethod] = new PHPExcel_Polynomial_Best_Fit($order,$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];
- break;
- default :
- return false;
- }
- } // function calculate()
-
-} // class trendClass \ No newline at end of file