nlintool - Interactive nonlinear regression
Syntax
nlintool(X,y,fun,beta0)
nlintool(X,y,fun,beta0,alpha)
nlintool(X,y,fun,beta0,alpha,'xname','yname')
Description
nlintool(X,y,fun,beta0) is
a graphical user interface to the nlinfit function,
and uses the same input arguments. The interface displays plots of
the fitted response against each predictor, with the other predictors
held fixed. The fixed values are in the text boxes below each predictor
axis. Change the fixed values by typing in a new value or by dragging
the vertical lines in the plots to new positions. When you change
the value of a predictor, all plots update to display the model at
the new point in predictor space. Dashed red curves show 95% simultaneous
confidence bands for the function.
nlintool(X,y,fun,beta0,alpha) shows 100(1-alpha)%
confidence bands. These are simultaneous confidence bounds for the
function value. Using the Boundser pmenu
you can switch between simultaneous and non-simultaneous bounds, and
between bounds on the function and bounds for predicting a new observation.
nlintool(X,y,fun,beta0,alpha,'xname','yname') labels
the plots using the string matrix 'xname' for the
predictors and the string 'yname' for the response.
Examples
The data in reaction.mat are partial pressures
of three chemical reactants and the corresponding reaction rates.
The function hougen implements
the nonlinear Hougen-Watson model for reaction rates. The following
fits the model to the data:
load reaction
nlintool(reactants,rate,@hougen,beta,0.01,xn,yn)
See Also
nlinfit, polytool, rstool
 | nlinfit | | nlmefit |  |
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