plotSlice
Class: NonLinearModel
Plot of slices through fitted nonlinear regression surface
Syntax
plotSlice(mdl)
h = plotSlice(mdl)
Description
plotSlice( creates
a new figure containing a series of plots, each representing a slice
through the regression surface predicted by mdl)mdl.
For each plot, the surface slice is shown as a function of a single
predictor variable, with the other predictor variables held constant.
h = plotSlice(mdl)
Input Arguments
|
Nonlinear regression model, constructed by |
Output Arguments
|
Vector of handles to lines or patches in the plot. |
Examples
Slice Plot
Plot slices of a fitted nonlinear model.
Load the reaction data and fit a model of the reaction rate as a function of reactants.
load reaction
mdl = fitnlm(reactants,rate,@hougen,[1 .05 .02 .1 2]);Create a slice plot.
plotSlice(mdl)
Drag the X1 prediction line to the right, and observe the change in the predicted response y and in the predicted response curves to X2 and X3.
Tips
If there are more than eight predictors,
plotSliceselects the first five for plotting. Use the Predictors menu to control which predictors are plotted.The Bounds menu lets you choose between simultaneous or non-simultaneous bounds, and between bounds on the function or bounds on a new observation.