#include <cmath>#include <vector>#include <numeric>#include <boost/bind.hpp>#include <complex>#include <algorithm>#include <OpenMS/ANALYSIS/OPENSWATH/OPENSWATHALGO/OpenSwathAlgoConfig.h>#include "OpenMS/ANALYSIS/OPENSWATH/OPENSWATHALGO/DATAACCESS/ISpectrumAccess.h"Go to the source code of this file.
Classes | |
| struct | mySqrt |
| class | mean_and_stddev |
| functor to compute the mean and stddev of sequence using the std::foreach algorithm More... | |
Namespaces | |
| namespace | OpenSwath |
Functions | |
| OPENSWATHALGO_DLLAPI void | normalize (const std::vector< double > &intensities, double normalization_factor, std::vector< double > &normalized_intensities) |
| Normalize intensities in vector by normalization_factor. | |
| template<typename T > | |
| double | norm (T beg, T end) |
| compute the norm of the vector | |
| template<typename Texp , typename Ttheo > | |
| double | dotProd (Texp intExpBeg, Texp intExpEnd, Ttheo intTheo) |
| compute dotprod of vecotrs | |
| OPENSWATHALGO_DLLAPI double | dotprodScoring (std::vector< double > intExp, std::vector< double > theorint) |
| the dot product scoring | |
| template<typename Texp , typename Ttheo > | |
| double | manhattanDist (Texp itExpBeg, Texp itExpEnd, Ttheo itTheo) |
| compute manhattan distance between Exp and Theo | |
| OPENSWATHALGO_DLLAPI double | manhattanScoring (std::vector< double > intExp, std::vector< double > theorint) |
| manhattan scoring | |
| template<typename TInputIterator , typename TInputIteratorY > | |
| std::iterator_traits < TInputIterator >::value_type | cor_pearson (TInputIterator xBeg, TInputIterator xEnd, TInputIteratorY yBeg) |
| compute prearson correlation of vector x and y | |
| OpenMS / TOPP release 1.10.0 | Documentation generated on Thu Mar 7 2013 09:42:47 using doxygen 1.7.1 |