| Statistics Toolbox | |
Fits a nonlinear equation to data and displays an interactive graph
Syntax
Description
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.
nlintool(x,y,FUN,beta0,alpha) plots a 100(1-alpha)% confidence interval for predictions.
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.
The default value for alpha is 0.05, which produces 95% confidence intervals.
nlintool(x,y,FUN,beta0,alpha,'xname','yname')
xname' for the x variables and the string 'yname' for the y variable.
You can drag the dotted white reference line and watch the predicted values update simultaneously. Alternatively, you can get a specific prediction by typing the value for x into an editable text field. Use the pop-up menu labeled Export to move specified variables to the base workspace. You can change the type of confidence bounds using the Bounds menu.
Example
See Nonlinear Regression Models.
| | nlinfit | nlparci | |