polyfitweighted 1.0

Like polyfit.m but includes weighting of each data point.Summary----------------Find a least-squares fit of 1D data y(x) with an nth order polynomial, weighted by w(x).Usage-----P = polyfitweighted(X,Y,N,W) finds the coefficients of a polynomial P(X) of degree N that fits the data Y best in a least-squares sense. P is a row vector of length N+1 containing the polynomial coefficients in descending powers, P(1)*X^N + P(2)*X^(N-1) +...+ P(N)*X + P(N+1). W is a vector of weights. Vectors X,Y,W must be the same length.Class support for inputs X,Y,W: float: double, single

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Descending,  Double,  Float,  Includes,  Inputs,  Leastsquares,  Length,  Lengthclass,  Order,  P2xn1,  Pn2b1,  Pointsummaryfind,  Polynomial,  Powers,  Single,  Support,  Vector,  Vectors,  Weights
Users rating:	0/10