# regr2.plot

From HH v2.1-12
0th

Percentile

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

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

Keywords
models, regression
##### 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 persp in R, persp in S-Plus.
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
See persp in S-Plus.
theta, phi, r, ticktype
See persp in R
...
Other arguments to persp.
##### Note

This plot is designed as a pedagogical example for introductory courses. When resid.plot=="square", then we actually see the set of squares for which the sum of their areas is minimized by the method of "least squares".

##### 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.

resid.squares, regr1.plot

• regr2.plot
##### Examples
fat <- read.table(hh("datasets/fat.data"), header=TRUE)
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")
Documentation reproduced from package HH, version 2.1-12, License: GPL (>= 2)

### Community examples

Looks like there are no examples yet.