[Previous] [Up] [Top] [Edit]


xyfittable - Fit two pair of columns with a linear model of translation, scale, rotation and optional shear.


    xyfittable [-<0|2|3|4>] X Y U V


xyfittable fits a linear model to relate two pair of columns in a table. The X, Y column pair are the indepentant or expected data. The U, V pair are the dependant or measured data.

The model contains 0, 2, 3, 4 or 6 free coefficients. The option selects the number of coefficients. The full 6 coefficient model is the default.

The model is:

      xe = a + b*xm + c*ym
      ye = d + e*xm + f*ym

The default is to fit all six coefficients are independently, modelling squash and shear as well as origin, scale, and orientation.

The four coefficient option selects a "solid body rotation" model. The model still consists of the same six coefficients, but now two of them are used twice (appropriately signed). The magnitudes of b and f, and of c and e, are equal. Origin, scale and orientation are still modelled, but not squash or shear - the units of x and y have to be the same. The signs of these coefficients depend on whether there is a sign reversal between xe,ye and xm,ym. Fits are performed with and without a sign reversal and the best one chosen. The three coefficient option forces unity scale, fitting origin and rotation. The two coefficient option fits only origin.

With the zero coefficient option the RMS and residuals are computed between two pairs of columns. This is convienient to allow other transformations on columns to be compared with fits using the same plotting scripts.

For three and four coefficient model the number of rows must be at least 2. For six coefficient model the number of rows must be at least 3.

See slaFitxy, slaInvf, slaXy2xy, slaDcmpf



[Previous] [Up] [Top] [Edit]