grt (version 0.1.0)

plot3d.glc: plot3d Method for Class 'glc'

Description

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

Usage

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

Arguments

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 descision bound surface(s) ranging form 0 (fully transparent) to 1 (opaque). Default is .5.

...

further arguments.

Details

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

References

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

See Also

plot.glc, plot3d.gqc

Examples

data(subjdemo_3d)
fit.3dl <- glc(response ~ x + y + z, data=subjdemo_3d, 
    category=subjdemo_3d$category, zlimit=7)
plot3d(fit.3dl)