OpenMS  2.5.0
FastLowessSmoothing.h
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34 
35 
36 #pragma once
37 
38 #include <OpenMS/CONCEPT/Macros.h>
39 #include <vector>
40 #include <algorithm> // std::min, std::max
41 #include <functional>
42 
43 namespace OpenMS
44 {
45 
63  namespace FastLowessSmoothing
64  {
65 
101  int OPENMS_DLLAPI lowess(const std::vector<double>& x, const std::vector<double>& y,
102  double f, int nsteps, double delta, std::vector<double>& result);
103 
116  inline int OPENMS_DLLAPI lowess(const std::vector<double>& x, const std::vector<double>& y,
117  std::vector<double>& result)
118  {
119  OPENMS_PRECONDITION(x.size() == y.size(), "Vectors x and y must have the same length")
120  OPENMS_PRECONDITION(x.size() >= 2, "Need at least two points for smoothing")
121  OPENMS_PRECONDITION(std::adjacent_find(x.begin(), x.end(), std::greater<double>()) == x.end(),
122  "The vector x needs to be sorted")
123 
124  double delta = 0.01 * (x[ x.size()-1 ] - x[0]); // x is sorted
125  return lowess(x, y, 2.0/3, 3, delta, result);
126  }
127  }
128 
129 } // namespace OpenMS
OPENMS_PRECONDITION
#define OPENMS_PRECONDITION(condition, message)
Precondition macro.
Definition: openms/include/OpenMS/CONCEPT/Macros.h:136
OpenMS::FastLowessSmoothing::lowess
int lowess(const std::vector< double > &x, const std::vector< double > &y, double f, int nsteps, double delta, std::vector< double > &result)
Computes a lowess smoothing fit on the input vectors.
Macros.h
OpenMS
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:46