Statistical data collection

OMNeT++ provides a variety of statistical classes. More...

Classes

class  cDensityEstBase
 Common base class for density estimation classes. More...
class  cTransientDetection
 Virtual base class for transient detection classes. More...
class  cAccuracyDetection
 Virtual base class for result accuracy detection classes. More...
class  cTDExpandingWindows
 A transient detection algorithm. More...
class  cADByStddev
 An algorithm for result accuracy detection. More...
class  cHistogramBase
 Base class for histogram classes. More...
class  cHistogram
 Implements an equidistant histogram that can operate in two modes. More...
class  cLongHistogram
 Equidistant histogram for integers. More...
class  cDoubleHistogram
 Equidistant histogram for doubles. More...
class  cKSplit
 Implements k-split, an adaptive histogram-like density estimation algorithm. More...
class  cOutVector
 Responsible for recording vector simulation results (an output vector). More...
class  cPSquare
 Implements the P2 algorithm, which calculates quantile values without storing the observations. More...
class  cStatistic
 Base class of different statistic collecting classes. More...
class  cStdDev
 Statistics class to collect min, max, mean, and standard deviation. More...
class  cWeightedStdDev
 Statistics class to collect doubles and calculate weighted statistics of them. More...
class  cVarHistogram
 Variable bin size histogram. More...

Detailed Description

OMNeT++ provides a variety of statistical classes.

There are basic classes which compute basic statistics like mean and standard deviation, some classes deal with density estimation, and other classes support automatic detection of the end of a transient, and automatic detection of accuracy of collected statistics.

The two main abstract base classes are cStatistic and cDensityEstBase. Most other classes are mostly polymorphic on these two, which means most functionality in subclasses is available via virtual functions defined in cStatistic and cDensityEstBase. The transient detection and result accuracy classes are derived from the cTransientDetection and cAccuracyDetection abstract base classes.

The classes are:

Transient and result accuracy detection classes:

Some other classes closely related to the above ones are not listed here explicitly, but you can find them via 'See also' links from their main classes.

Generated on Tue Dec 2 11:16:27 2014 for OMNeT++ Simulation Library by  doxygen 1.6.3