measuremodes.h

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00001 /***************************************************************************
00002  *   Copyright (C) 2005-2011 LpzRobots development team                    *
00003  *    Georg Martius  <georg dot martius at web dot de>                     *
00004  *    Frank Guettler <guettler at informatik dot uni-leipzig dot de        *
00005  *    Frank Hesse    <frank at nld dot ds dot mpg dot de>                  *
00006  *    Ralf Der       <ralfder at mis dot mpg dot de>                       *
00007  *                                                                         *
00008  *   This program is free software; you can redistribute it and/or modify  *
00009  *   it under the terms of the GNU General Public License as published by  *
00010  *   the Free Software Foundation; either version 2 of the License, or     *
00011  *   (at your option) any later version.                                   *
00012  *                                                                         *
00013  *   This program is distributed in the hope that it will be useful,       *
00014  *   but WITHOUT ANY WARRANTY; without even the implied warranty of        *
00015  *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the         *
00016  *   GNU General Public License for more details.                          *
00017  *                                                                         *
00018  *   You should have received a copy of the GNU General Public License     *
00019  *   along with this program; if not, write to the                         *
00020  *   Free Software Foundation, Inc.,                                       *
00021  *   59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.             *
00022  *                                                                         *
00023  ***************************************************************************/
00024 #ifndef _MEASUREMODES_H
00025 #define _MEASUREMODES_H
00026 
00027 /**
00028  * usage of the statistictools with different measure modes (examples):
00029  *
00030  * adds following measure: the force of the nimm2, ID = the force itself,
00031  * 3 = has no effect?
00032  * stats->addMeasure(myNimm2->getForce(), "force", ID, 3);
00033  *
00034  * next: the average of the observed value (force), AVG = average,
00035  * 50 = average over 50 timesteps (stepspan=50)
00036  * stats->addMeasure(myNimm2->getForce(), "forceAvg50", AVG, 50);
00037  *
00038  * next: the medium of the oserved value (force), MED = medium,
00039  * 3 = medium over 3 timesteps (stepspan=3)
00040  * stats->addMeasure(myNimm2->getForce(), "forceMed3", MED, 3);
00041  *
00042  * next: the peak of the observed value above a given threshold
00043  * stats->addMeasure(myNimm2->getForce(), "forcePeak1", PEAK, 0, 1.0);
00044  *
00045  *
00046  */
00047 
00048 
00049 /** measure modes of statistical types. If you add a measure mode, you have
00050  *  naturally to implement this measuremode in statisticmeasure.cpp -
00051  *  see method StatisticMeasure::step() !
00052  */
00053 enum MeasureMode {
00054         /// returns the value to observe itself
00055         ID,
00056         /// returns the average value
00057                 AVG,
00058         /// returns the moving average value
00059                 MOVAVG,
00060         /// returns the median value
00061                 MED,
00062         /// returns the minimum value
00063                 MIN,
00064         /// returns the maximum value
00065                 MAX,
00066         /// returns only values above defined limit
00067                 PEAK,
00068         /// returns the sum of the value generated over time (or stepSpan)
00069                 SUM,
00070         /// returns 1 if convergence is reached, otherwise 0
00071         /// convergence criteria (epsilon) is given by addMeasure, the convergence
00072         /// is reached if value is falling below the criteria of the measure time (stepSpan)
00073                 CONV,
00074     /// returns the difference between two successive steps
00075         STEPDIFF,
00076     /// returns the difference between two successive steps, normalized with number of steps
00077     NORMSTEPDIFF
00078 };
00079 
00080 #endif
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