Diploma Thesis Percolation Simulation
C++ Sourcecode Documentation

www.AndreasKrueger.de/thesis/code
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statistics Namespace Reference


Compounds

class  manipdata
class  minmax
class  muvarskewkurt
class  statistical

Functions

template<class RES> ostream & operator<< (ostream &os, muvarskewkurt< RES > A)
template<class RES, class ELEM> void calculate_all_moments (ELEM(manipdata< ELEM >::*function)(ELEM, ELEM), ELEM fn_arg, std::list< ELEM > &elements, measure< RES > &average, measure< RES > &variance, measure< RES > &skewness, measure< RES > &kurtosis)
template<class RES, class ELEM> muvarskewkurt< RES > calculate_moments (ELEM(manipdata< ELEM >::*function)(ELEM, ELEM), ELEM fn_arg, std::list< ELEM > &elements, RES dummy)
void test_statistics ()
template<class T> T minof2 (T a, T b)
template<class T> T maxof2 (T a, T b)

Function Documentation

template<class RES, class ELEM>
void calculate_all_moments (  ELEM(manipdata< ELEM >::*    function)(ELEM, ELEM),
ELEM    fn_arg,
std::list< ELEM > &    elements,
measure< RES > &    average,
measure< RES > &    variance,
measure< RES > &    skewness,
measure< RES > &    kurtosis
) 
 

Definition at line 222 of file statistics.h.

References measure< T >::av(), statistics::statistical< RES, ELEM >::average(), statistics::statistical< RES, ELEM >::kurtosis(), statistics::statistical< RES, ELEM >::skewness(), sqrt(), and statistics::statistical< RES, ELEM >::variance(). 

00226 {
00227         statistical<RES, ELEM> *moments=NULL;
00228         average =moments->average (function, fn_arg, elements);
00229         variance=moments->variance(function, fn_arg, elements, average.av());
00230         skewness=moments->skewness(function, fn_arg, elements, average.av(), sqrt(variance));
00231         kurtosis=moments->kurtosis(function, fn_arg, elements, average.av(), sqrt(variance));
00232 }

template<class RES, class ELEM>
muvarskewkurt<RES> calculate_moments (  ELEM(manipdata< ELEM >::*    function)(ELEM, ELEM),
ELEM    fn_arg,
std::list< ELEM > &    elements,
RES    dummy
) 
 

Definition at line 265 of file statistics.h.

References measure< RES >::av(), statistics::statistical< RES, ELEM >::average(), statistics::statistical< RES, ELEM >::kurtosis(), statistics::muvarskewkurt< RES >::kurtosis, statistics::muvarskewkurt< RES >::mu, statistics::statistical< RES, ELEM >::skewness(), statistics::muvarskewkurt< RES >::skewness, sqrt(), statistics::statistical< RES, ELEM >::variance(), and statistics::muvarskewkurt< RES >::variance. 

00269 {
00270         statistical<RES, ELEM> *moments=NULL;
00271         muvarskewkurt<RES> temp;
00272         temp.mu      =moments->average (function, fn_arg, elements);
00273         temp.variance=moments->variance(function, fn_arg, elements, temp.mu.av());
00274         temp.skewness=moments->skewness(function, fn_arg, elements, temp.mu.av(), sqrt(temp.variance.av()));
00275         temp.kurtosis=moments->kurtosis(function, fn_arg, elements, temp.mu.av(), sqrt(temp.variance.av()));
00276         return temp;
00277 }

template<class T>
T maxof2 (  T    a,
T    b
) 
 

Definition at line 323 of file statistics.h. 

00323 { return (a<b)?b:a; }

template<class T>
T minof2 (  T    a,
T    b
) 
 

Definition at line 321 of file statistics.h. 

00321 { return (a<b)?a:b; }

template<class RES>
ostream & statistics::operator<< (  ostream &    os,
muvarskewkurt< RES >    A
) 
 

Definition at line 251 of file statistics.h. 

00251                                                                            {
00252         os <<"mu="<<A.mu<<" var="<<A.variance<<" skw="<<A.skewness<<" krt="<<A.kurtosis;
00253         return os;
00254 }

void test_statistics (    ) 
 

Definition at line 280 of file statistics.h. 

00280                       {
00281         cout <<"\nHi!\nTest statistics with a list of random numbers.";
00282         cout <<"\nHow many:"<<flush;
00283         int N=0; 
00284         while (N<1) cin>>N;
00285         std::list<float> L;
00286         for (int i=0;i<N;i++) L.push_back(rand()/(float)RAND_MAX);
00287         muvarskewkurt<double> A;
00288         int dummy=42;
00289         double dummy2=1.0; // for calculate_moments result type
00290         A=calculate_moments<double,float>(&manipdata<float>::linear, dummy, L, dummy2);
00291         cout <<"The distribution has these statistical properties:\n";
00292         cout <<"(average mu, variance, skewness, kurtosis)\n" <<A<<endl;
00293 }




Diploma Thesis Sourcecode Documentation
check out the text and the executable binaries

www.AndreasKrueger.de/thesis/code