Linear fit

Given a number of datapoints (x,y), calculates the parameters ‘m’ and ‘b’ that fit best (in the least squares sense) the following model:

y=mx+b

Datapoints may have weights assigned to them for both x and y axes. The weight is the reciprocal of the variance. The returned goodness of fit is the square root of chi^2.

Python interface

class iplt.alg.LinearFit((object)arg1)

AddDatapoint((LinearFit)arg1, (float)arg2, (float)arg3) → None :

C++ signature :

void AddDatapoint(iplt::alg::LinearFit {lvalue},double,double)

AddDatapoint( (LinearFit)arg1, (float)arg2, (float)arg3, (float)arg4) -> None :

C++ signature :

void AddDatapoint(iplt::alg::LinearFit {lvalue},double,double,double)

AddDatapoint( (LinearFit)arg1, (float)arg2, (float)arg3, (float)arg4, (float)arg5) -> None :

C++ signature :

void AddDatapoint(iplt::alg::LinearFit {lvalue},double,double,double,double)

Apply((LinearFit)arg1) → tuple :

C++ signature :

boost::python::tuple Apply(iplt::alg::LinearFit {lvalue})

Clear((LinearFit)arg1) → None :

C++ signature :

void Clear(iplt::alg::LinearFit {lvalue})

Estimate((LinearFit)arg1, (float)arg2) → tuple :

C++ signature :

boost::python::tuple Estimate(iplt::alg::LinearFit {lvalue},double)

ForceOrigin((LinearFit)arg1, (bool)arg2) → None :

C++ signature :

void ForceOrigin(iplt::alg::LinearFit {lvalue},bool)

GetGOF((LinearFit)arg1) → float :

C++ signature :

double GetGOF(iplt::alg::LinearFit {lvalue})

GetOffset((LinearFit)arg1) → float :

C++ signature :

double GetOffset(iplt::alg::LinearFit {lvalue})

GetOffsetVariance((LinearFit)arg1) → float :

C++ signature :

double GetOffsetVariance(iplt::alg::LinearFit {lvalue})

GetQ((LinearFit)arg1) → float :

C++ signature :

double GetQ(iplt::alg::LinearFit {lvalue})

GetRSQ((LinearFit)arg1) → float :

C++ signature :

double GetRSQ(iplt::alg::LinearFit {lvalue})

GetScale((LinearFit)arg1) → float :

C++ signature :

double GetScale(iplt::alg::LinearFit {lvalue})

GetScaleVariance((LinearFit)arg1) → float :

C++ signature :

double GetScaleVariance(iplt::alg::LinearFit {lvalue})

GetWGOF((LinearFit)arg1) → float :

C++ signature :

double GetWGOF(iplt::alg::LinearFit {lvalue})

PointCount((LinearFit)arg1) → int :

C++ signature :

int PointCount(iplt::alg::LinearFit {lvalue})

__init__((object)arg1) → None :

C++ signature :

void __init__(_object*)

C++ interface