2526492ca5
git-svn-id: https://phpexcel.svn.codeplex.com/svn/trunk@87248 2327b42d-5241-43d6-9e2a-de5ac946f064
73 lines
2.3 KiB
PHP
73 lines
2.3 KiB
PHP
<?php
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/**
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* PHPExcel
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*
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* Copyright (c) 2006 - 2012 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_Best_Fit
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* @copyright Copyright (c) 2006 - 2012 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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require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
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/**
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* PHPExcel_Linear_Best_Fit
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*
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* @category PHPExcel
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* @package PHPExcel_Shared_Best_Fit
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* @copyright Copyright (c) 2006 - 2012 PHPExcel (http://www.codeplex.com/PHPExcel)
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*/
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class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
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{
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protected $_bestFitType = 'linear';
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public function getValueOfYForX($xValue) {
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return $this->getIntersect() + $this->getSlope() * $xValue;
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} // function getValueOfYForX()
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public function getValueOfXForY($yValue) {
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return ($yValue - $this->getIntersect()) / $this->getSlope();
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} // function getValueOfXForY()
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public function getEquation($dp=0) {
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$slope = $this->getSlope($dp);
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$intersect = $this->getIntersect($dp);
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return 'Y = '.$intersect.' + '.$slope.' * X';
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} // function getEquation()
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private function _linear_regression($yValues, $xValues, $const) {
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$this->_leastSquareFit($yValues, $xValues,$const);
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} // function _linear_regression()
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function __construct($yValues, $xValues=array(), $const=True) {
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if (parent::__construct($yValues, $xValues) !== False) {
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$this->_linear_regression($yValues, $xValues, $const);
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}
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} // function __construct()
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} // class linearBestFit
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