LINFIT(3M)

NAME
linfit

DESCRIPTION
subroutine linfit.f source
  Bevington, pages 104-105. purpose
  make least-squares fit to a data set with a straight line usage
  call linfit (x, y, sigmay, npts, mode, a, sigmaa,
    b, sigmab, r) description of parameters
  x - array of data points for independent variable
  y - array of data points for dependent variable
  sigmay - array of standard deviations for y data points
  npts - number of pairs of data points
  mode - determines method of weighting least-squares fit
           +1 (instrumental) weight(i) = 1./sigmay(i)**2
            0 (no weighting) weight(i) = 1.
           -1 (statistical) weight(i) = 1./y(i)
  a - y intercept of fitted straight line
  sigmaa - standard deviation of a
  b - slope of fitted straight line
  sigmab - standard deviation of b
  r - linear correlation coefficient subroutines and function subprograms required
  none