Plot of slices through fitted generalized linear regression surface
h = plotSlice(mdl)
a new figure containing a series of plots, each representing a slice
through the regression surface predicted by
For each plot, the surface slice is shown as a function of a single
predictor variable, with the other predictor variables held constant.
If there are more than eight predictors,
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.
Vector of handles to lines or patches in the plot.
Create a slice plot of a Poisson generalized linear model.
Generate artificial data for the model using Poisson random
numbers with two underlying predictors
rng('default') % for reproducibility rndvars = randn(100,2); X = [2+rndvars(:,1),rndvars(:,2)]; mu = exp(1 + X*[1;2]); y = poissrnd(mu);
Create a generalized linear regression model of Poisson data.
mdl = fitglm(X,y,'y ~ x1 + x2','distr','poisson');
Create the slice plot.
x1 prediction line to the
right and view the changes in the prediction and the response curve