plot3d.glc: plot3d Method for Class 'glc'
In matsukik/grt: General Recognition Theory

Description Usage Arguments Details References See Also Examples

plot the fitted 3D data set and linear decision boundary.

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## S3 method for class 'glc'
plot3d(x, fitdb = TRUE, initdb = FALSE,
    lims = NULL, alpha = .5, ...)

`x`	object of class `glc`
`fitdb`	logical. If `TRUE`, the fitted decision bound will be plotted. Default to `TRUE`
`initdb`	logical. If `TRUE`, the decision bound specified by the initial parameters will be plotted. Default to `FALSE`
`lims`	column matrix of the x, y, and z limits of the plot
`alpha`	alpha value for the decision bound surface(s) ranging from 0 (fully transparent) to 1 (opaque). Default is .5.
`...`	further arguments.

This function produces a 3D scatter plot of data matrix in the x and (optionally) decision boundary specified within (i.e., x$par and/or x$initpar), using points3d and quads3d in the rgl package respectively.

Daniel Adler, Oleg Nenadic and Walter Zucchini (2003) RGL: A R-library for 3D visualization with OpenGL

plot.glc, plot3d.gqc

## Not run: 
data(subjdemo_3d)
fit.3dl <- glc(response ~ x + y + z, data=subjdemo_3d,
    category=subjdemo_3d$category, zlimit=7)
plot3d(fit.3dl)

## End(Not run)