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... |
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.