Statistics Toolbox

nlintool

Fits a nonlinear equation to data and displays an interactive graph

Syntax

• nlintool(x,y,FUN,beta0)
  nlintool(x,y,FUN,beta0,alpha)
  nlintool(x,y,FUN,beta0,alpha,'xname','yname')
  

Description

nlintool displays a "vector" of plots, one for each column of the matrix of inputs, x. The response variable, y, is a column vector that matches the number of rows in x.

nlintool(x,y,FUN,beta0) is a prediction plot that provides a nonlinear curve fit to (x,y) data. It plots a 95% global confidence interval for predictions as two red curves. beta0 is a vector containing initial guesses for the parameters.

FUN is a MATLAB function that returns a vector of fitted y values. It is of the form

• yhat = myfun(beta,x)
  

nlintool(x,y,FUN,beta0,alpha) plots a 100(1 - alpha)% confidence interval for predictions.

The default value for alpha is 0.05, which produces 95% confidence intervals.

nlintool(x,y,FUN,beta0,alpha,'xname','yname') labels the plot using the string matrix, 'xname' for the x variables and the string 'yname' for the y variable.

Example

See An Interactive GUI for Nonlinear Fitting and Prediction for an example and for details about using the graphical interface.

See Also
nlinfit, rstool

nlinfit

nlparci