/************************************************************************** /* This class is part of the Java Plotlib Toolkit. /* /* Copyright (c) 1999-2004 by Bernhard Bablok (bablokb@gmx.de) /* /* This program is free software; you can redistribute it and/or modify /* it under the terms of the GNU General Public License as published /* by the Free Software Foundation; either version 2 of the License or /* (at your option) any later version. /* /* This program 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 Library General Public License for more details. /* /* You should have received a copy of the GNU General Public License /* along with this program; see the file COPYING. If not, write to /* the Free Software Foundation Inc., 59 Temple Place - Suite 330, /* Boston, MA 02111-1307 USA /**************************************************************************/ package de.bablokb.plotlib.test; import java.awt.geom.*; import de.bablokb.plotlib.plot.*; /** Example-Function NormalDensity. @version $Revision: 1.3 $ @author $Author: bablokb $ */ public class NormalDensity implements FunctionPlot.Yfx { private float iMu=0, iSigma=1; ///////////////////////////////////////////////////////////////////////////// public NormalDensity() { } ///////////////////////////////////////////////////////////////////////////// public float getMu() { return iMu; } ///////////////////////////////////////////////////////////////////////////// public float getSigma() { return iSigma; } ///////////////////////////////////////////////////////////////////////////// public NormalDensity(float mu, float sigma) { iMu = mu; iSigma = sigma; } ///////////////////////////////////////////////////////////////////////////// /** Implements FunctionPlot.Yfx */ public Point2D f(double x) { Point2D.Float p = new Point2D.Float(); p.x = (float) x; p.y = (float) (1/(iSigma*Math.sqrt(2*Math.PI)) * Math.exp(-(x-iMu)*(x-iMu)/(2*iSigma*iSigma))); return p; } }