plot the fitted 3D data set and quadratic decision boundaries.
1 2 3 4 
x 
object of class 
fitdb 
logical. If 
initdb 
logical. If 
lims 
column matrix of the x, y, and z limits of the plot. If 
npoints 
number of points per dimension (i.e., x, y, and z) used to plot the decision bound surface. Default is 100. 
alpha 
alpha value for the decision bound surface(s) ranging from 0 (fully transparent) to 1 (opaque). Default is .5 
fill 
logical. If 
smooth 
logical. If 
... 
further arguments. 
This function produces a 3D scatter plot of data matrix of x
and (optionally) quadratic decision boundaries specified within (i.e., x$par
and/or x$initpar
), using points3d
function in the rgl
package and contour3d
function in the misc3d
package respectively.
Daniel Adler, Oleg Nenadic and Walter Zucchini (2003) RGL: A Rlibrary for 3D visualization with OpenGL
1 2 3 4  data(subjdemo_3d)
fit.3dq < gqc(response ~ x + y + z, data=subjdemo_3d,
category=subjdemo_3d$category, zlimit=7)
plot3d(fit.3dq)

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