35 #ifndef OPENMS_MATH_STATISTICS_ASYMMETRICSTATISTICS_H 
   36 #define OPENMS_MATH_STATISTICS_ASYMMETRICSTATISTICS_H 
   58     template <
typename Real = DoubleReal>
 
   93       template <
typename ProbabilityIterator, 
typename CoordinateIterator>
 
   94       void update(ProbabilityIterator 
const probability_begin,
 
   95                   ProbabilityIterator 
const probability_end,
 
   96                   CoordinateIterator  
const coordinate_begin)
 
   99         Base::update(probability_begin, probability_end, coordinate_begin);
 
  107         ProbabilityIterator prob_iter = probability_begin;
 
  108         CoordinateIterator  coord_iter = coordinate_begin;
 
  109         for (; prob_iter != probability_end; ++prob_iter, ++coord_iter)
 
  112           RealType diff_squared = diff * diff;
 
  116             if (*coord_iter < mean_)
 
  129             RealType frac = (diff / stdev + 1.) / 2.;
 
  130             RealType prob_frac = frac * *prob_iter;
 
  133             prob_frac = *prob_iter * (1. - frac);
 
  152 #endif // OPENMS_MATH_STATISTICS_ASYMMETRICSTATISTICS_H 
RealType variance_
Definition: BasicStatistics.h:258
void update(ProbabilityIterator const probability_begin, ProbabilityIterator const probability_end, CoordinateIterator const coordinate_begin)
You can call this as often as you like, using different input vectors. 
Definition: AsymmetricStatistics.h:94
RealType variance2() const 
"variance to the right hand side" 
Definition: AsymmetricStatistics.h:87
RealType mean_
Definition: BasicStatistics.h:257
void update(ProbabilityIterator probability_begin, ProbabilityIterator const probability_end)
This does the actual calculation. 
Definition: BasicStatistics.h:114
Internal class for asymmetric distributions. 
Definition: AsymmetricStatistics.h:59
AsymmetricStatistics()
Default constructor. 
Definition: AsymmetricStatistics.h:74
Calculates some basic statistical parameters of a distribution: sum, mean, variance, and provides the normal approximation. 
Definition: BasicStatistics.h:68
RealType variance1_
Definition: AsymmetricStatistics.h:145
RealType variance1() const 
"variance to the left hand side" 
Definition: AsymmetricStatistics.h:81
RealType variance2_
Definition: AsymmetricStatistics.h:145
void clear()
Set sum, mean, and variance to zero. 
Definition: BasicStatistics.h:104
RealType sum_
Definition: BasicStatistics.h:259
BasicStatistics< Real > Base
The real type and basic statistics specified as template argument. 
Definition: AsymmetricStatistics.h:63
RealT RealType
The real type specified as template argument. 
Definition: BasicStatistics.h:75
Base::RealType RealType
Definition: AsymmetricStatistics.h:64