示例#1
0
void LinearFit2D::evaluate_error(const algebra::Vector2Ds& data,
                                 const Floats &errors) {
  error_ = 0.0;
  for(unsigned int i=0; i<data.size(); i++) {
    double diff = (a_*data[i][0] + b_ - data[i][1]);
    if (!errors.empty()) {
      diff/=errors[i];
    }
    error_ += diff*diff;
  }
  //std::cerr << error_ << std::endl;
}
示例#2
0
IMPALGEBRA_BEGIN_NAMESPACE

LinearFit2D::LinearFit2D(const algebra::Vector2Ds& data,
                         const Floats &errors) {
  // check that there are at least 3 points
  IMP_USAGE_CHECK(data.size() > 1,
                  "At least 2 points are required for LinearFit2D "
                  << data.size() << " given");
  IMP_USAGE_CHECK(errors.empty() || errors.size()==data.size(),
                  "Either there must be no error bars given or one per"
                  << " point.");
  find_regression(data, errors);
  evaluate_error(data, errors);
}
示例#3
0
void LinearFit2D::find_regression(const algebra::Vector2Ds& data,
                                  const Floats &errors) {
  double x(0.0), y(0.0), x2(0.0), xy(0.0), w(0.0);
  for(unsigned int i=0; i<data.size(); i++) {
    double wi;
    if (!errors.empty()) {
      wi=1.0/IMP::base::square(errors[i]);
    } else {
      wi=1.0;
    }
    w+=wi;
    x+= wi*data[i][0];
    y+= wi*data[i][1];
    xy+= wi*data[i][0]*data[i][1];
    x2 += wi*data[i][0]*data[i][0];
  }

  a_ = (w*xy-x*y)/(w*x2 - x*x);
  b_ = y/w - a_*x/w;
}