HH (version 3.1-40)

regr2.plot: 3D plot of z against x and y, with regression plane fit and display of squared residuals.

Description

3D plot of z against x and y, with regression plane fit and display of squared residuals.

Usage

regr2.plot(x, y, z,
           main.in="put a useful title here",
           resid.plot=FALSE,
           plot.base.plane=TRUE,
           plot.back.planes=TRUE,
           plot.base.points=FALSE,
           eye=NULL,                   ## S-Plus
           theta=0, phi=15, r=sqrt(3), ticktype="detailed", ## R
           ...)

Arguments

x,y,z

See

main.in

main title for plot.

resid.plot

Argument to resid.squares.

plot.base.plane, plot.back.planes, plot.base.points

Should these items be plotted?

eye

S-Plus only. See

theta, phi, r, ticktype

R only. See

Other arguments to persp.

Value

"Viewing Transformation" for projecting 3D coordinates (x,y,z) into the 2D plane. See persp for details.

References

Heiberger, Richard M. and Holland, Burt (2004b). Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS. Springer Texts in Statistics. Springer. ISBN 0-387-40270-5.

Smith, W. and Gonick, L. (1993). The Cartoon Guide to Statistics. HarperCollins.

See Also

resid.squares, regr1.plot, persp

Examples

Run this code
# NOT RUN {
data(fat)
regr2.plot(fat[,"abdomin"], xlab="abdomin",
           fat[,"biceps"],  ylab="biceps",
           fat[,"bodyfat"], zlab="bodyfat",
           resid.plot="square",
           eye=c(335.5, 115.65, 171.9),   ## used only in S-Plus
           theta=140, phi=35, r=sqrt(15), ## used only in R
           box=is.R(),
           plot.back.planes=FALSE,
           main="Least-squares with two X-variables")

# }
# NOT RUN {
  demo("regr2", package="HH", ask=FALSE)
  ## run the file manually to see the individual steps.
# }

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