Returns

Array giving the evaluated polyfit at x.

Examples

Fit a 7-th order polynomial to the data in !g.s[0] and subtract the result of the fit from that data, replacing the data in !g.s[0].

    yy = *(!g.s[0].data_ptr)
    xx = dindgen(n_elements(yy))
    poly = ortho_fit(xx, yy, 7, cfit, rms)
    thefit = ortho_poly(xx,poly)
    *(!g.s[0].data_ptr) = *(!g.s[0].data_ptr) - thefit
 

Version

$Id$

Parameters
x in, required	The x-values to use in evaluating the polynomials.
polyfit in, required 2D array	The array describing the polynomials. Typically this will be the return value from ortho_fit. The dimensionality is [4,(nfit+1)] polyfit(3,m) gives the weighting coefficient for the m-th orthogonal polynomial polyfit(0:2,m) for m=2 are the recursion coefficients for p^(m) = x*p^(m-1)*polyfit(2,m) + p^(m-1)*polyfit(1,m) + p^(m-2)*polyfit(0,m) polyfit(0,0) is the value of the constant term p^(1) = polyfit(1,1)*x + polyfit(0,1)