#401 : Support for namespaces
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Progi1984
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<?php
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namespace PHPExcel\Shared\trend;
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/**
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* PHPExcel_\PHPExcel\Shared\trend\trend
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*
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* Copyright (c) 2006 - 2015 PHPExcel
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with this library; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*
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* @category PHPExcel
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* @package PHPExcel_Shared_Trend
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* @copyright Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel)
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* @license http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt LGPL
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* @version ##VERSION##, ##DATE##
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*/
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class trend
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{
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const TREND_LINEAR = 'Linear';
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const TREND_LOGARITHMIC = 'Logarithmic';
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const TREND_EXPONENTIAL = 'Exponential';
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const TREND_POWER = 'Power';
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const TREND_POLYNOMIAL_2 = 'Polynomial_2';
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const TREND_POLYNOMIAL_3 = 'Polynomial_3';
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const TREND_POLYNOMIAL_4 = 'Polynomial_4';
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const TREND_POLYNOMIAL_5 = 'Polynomial_5';
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const TREND_POLYNOMIAL_6 = 'Polynomial_6';
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const TREND_BEST_FIT = 'Bestfit';
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const TREND_BEST_FIT_NO_POLY = 'Bestfit_no_Polynomials';
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/**
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* Names of the best-fit trend analysis methods
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*
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* @var string[]
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**/
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private static $trendTypes = array(
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self::TREND_LINEAR,
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self::TREND_LOGARITHMIC,
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self::TREND_EXPONENTIAL,
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self::TREND_POWER
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);
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/**
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* Names of the best-fit trend polynomial orders
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*
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* @var string[]
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**/
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private static $trendTypePolynomialOrders = array(
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self::TREND_POLYNOMIAL_2,
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self::TREND_POLYNOMIAL_3,
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self::TREND_POLYNOMIAL_4,
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self::TREND_POLYNOMIAL_5,
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self::TREND_POLYNOMIAL_6
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);
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/**
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* Cached results for each method when trying to identify which provides the best fit
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*
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* @var bestFit[]
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**/
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private static $trendCache = array();
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public static function calculate($trendType = self::TREND_BEST_FIT, $yValues, $xValues = array(), $const = true)
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{
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// Calculate number of points in each dataset
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$nY = count($yValues);
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$nX = count($xValues);
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// Define X Values if necessary
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if ($nX == 0) {
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$xValues = range(1, $nY);
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$nX = $nY;
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} elseif ($nY != $nX) {
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// Ensure both arrays of points are the same size
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trigger_error("trend(): Number of elements in coordinate arrays do not match.", E_USER_ERROR);
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}
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$key = md5($trendType.$const.serialize($yValues).serialize($xValues));
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// Determine which trend method has been requested
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switch ($trendType) {
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// Instantiate and return the class for the requested trend method
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case self::TREND_LINEAR:
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case self::TREND_LOGARITHMIC:
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case self::TREND_EXPONENTIAL:
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case self::TREND_POWER:
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if (!isset(self::$trendCache[$key])) {
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$className = '\PHPExcel\Shared\trend\\'.strtolower($trendType).'BestFit';
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self::$trendCache[$key] = new $className($yValues, $xValues, $const);
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}
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return self::$trendCache[$key];
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case self::TREND_POLYNOMIAL_2:
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case self::TREND_POLYNOMIAL_3:
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case self::TREND_POLYNOMIAL_4:
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case self::TREND_POLYNOMIAL_5:
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case self::TREND_POLYNOMIAL_6:
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if (!isset(self::$trendCache[$key])) {
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$order = substr($trendType, -1);
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self::$trendCache[$key] = new polynomialBestFit($order, $yValues, $xValues, $const);
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}
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return self::$trendCache[$key];
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case self::TREND_BEST_FIT:
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case self::TREND_BEST_FIT_NO_POLY:
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// If the request is to determine the best fit regression, then we test each trend line in turn
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// Start by generating an instance of each available trend method
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foreach (self::$trendTypes as $trendMethod) {
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$className = '\PHPExcel\Shared\trend\\'.strtolower($trendType).'BestFit';
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$bestFit[$trendMethod] = new $className($yValues, $xValues, $const);
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$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
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}
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if ($trendType != self::TREND_BEST_FIT_NO_POLY) {
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foreach (self::$trendTypePolynomialOrders as $trendMethod) {
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$order = substr($trendMethod, -1);
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$bestFit[$trendMethod] = new polynomialBestFit($order, $yValues, $xValues, $const);
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if ($bestFit[$trendMethod]->getError()) {
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unset($bestFit[$trendMethod]);
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} else {
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$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
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}
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}
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}
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// Determine which of our trend lines is the best fit, and then we return the instance of that trend class
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arsort($bestFitValue);
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$bestFitType = key($bestFitValue);
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return $bestFit[$bestFitType];
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default:
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return false;
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}
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}
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}
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