nv_xy

Command interface to the xy analysis routines.

nv_xy clvl ? confLevel ?

Returns the confidence levels used in estimating the confidence intervals during a non-linear fit to the data. If the optional argument is specified the confidence level is set to 'confLevel'. The default value is 0.9.

nv_xy nsim ? N ?

Returns the number simulations performed in estimating the confidence intervals during a non-linear fit to the data. If the optional argument is specified the number of simulations is set to 'N'.

nv_xy fit ? arg1 ... ?

Fit the xy data to the selected equation.

nv_xy equation ? equationNumber ?

Set the equation to be used in the non-linear fit to equation number 'equationNumber'.

nv_xy gen ? param1 param2 ... ?

Generate simulated data using the parameters specified with param1 param2 ... The simulated data will be returned in the vector specified by the 'yObject' parameter of the "nv_xy objects" method. By default this is the vector fit_y.

nv_xy objects xObject yObject sdObject fitObject

This command is used to specify the vectors that are used in the xy fitting routines. The array of x data should be in the vector specified by 'xObject', the y data in the vector specified by 'yObject', and the standard deviations of the y data in the vector specified by 'sdObject'. The "nv_xy fit" command will update the vector specified by 'fitObject' with the simulated data generated with the best-fit parameters. The default objects are vectors named "fit_x", "fit_y", "fit_s", and "fit_f".

nv_xy method ? fitMethod ?

Returns an integer number specifiying the method used in the non-linear fitting. If the optional argument 'fitMethod' is included then the fitting method is set to that specified. A value of 0 specifies the Levenberg-Marquardt method, a value of 1, specified a simplex optimization method.